Neaman, A., Zakharikhina, L., Navarro-Villarroel, C., Peñaloza, P., Dovletyarova, E. (2022). "Choose your procedure wisely: Removal of outliers is inappropriate for estimating background concentrations of trace elements in soil". Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.5550

Stehlik, M. Editorial, Research in Statistics, DOI: https://doi.org/10.1080/27684520.2022.2136508

Sanzana-Luengo, C., Díaz, L., Abarza, L., Alvarado, E., Beltrán, V. (2022). Teledentistry protocol for the elderly in the context of the COVID-19 pandemic through a web platform/mobile app: approach from the general dentist. Journal of Oral Research, S1, 1-8. DOI: http://dx.doi.org/10.17126/joralres.2022.026

Beltrán, V., Mardones, P. A., Díaz, J., Alvarado, E., von Marttens, A. (2022). TEGO: A new concept of teledentistry for the elderly through a web platform and mobile app in the context of the covid-19 pandemic. Journal of Oral Research, S1, 1-8. DOI: http://dx.doi.org/10.17126/joralres.2022.023

Beltrán, V., von Marttens, A., Acuña-Mardones, P., Sanzana-Luengo, C., Rueda-Velásquez, S.J., Alvarado, E., ..., Venegas, B. (2022). Implementation of a Teledentistry Platform for Dental Emergencies for the Elderly in the Context of the COVID-19 Pandemic in Chile. BioMed Research International 2022, 6889285. DOI: https://doi.org/10.1155/2022/6889285

Bitcoin Here, Bitcoin There, Bitcoin Everywhere Nonetheless Where Are the (Negative) Interest Rates? M. Schullitsch, M. Striedner, V. Mühlbacher, D. Silian, Pavicic,D. Ljubijankic,M. Nagy, E. Hodzic, K. Hauer, J. Kise˘lák, and M. Stehlík https://aip.scitation.org/doi/abs/10.1063/5.0101120

Neaman, A., Pensini, P., Zabel, S., Otto, S., Ermakov, D.S., Dovletyarova, E.A., Burnham, E., Castro, M., Navarro-Villarroel, C. (2022). The Prosocial Driver of Ecological Behavior: The Need for an Integrated Approach to Prosocial and Environmental Education. Sustainability 14(7). https://doi.org/10.3390/su14074202. Q2

Contreras-Reyes, J.E., Gallardo, D.I., Kharazmi, O. (2022). Time-dependent residual Fisher information and distance for some special continuous distributions. Communications in Statistics - Simulation and Computation. DOI: https://doi.org/10.1080/03610918.2022.2146136

Ochoa-Muñoz, A.F., Peña-Torres, J.A., García-Bermúdez, C.E., Mosquera-Muñoz, K.F., Mesa-Diez, J. (2022). On characterization of sensory data in presence of missing values: The case of sensory coffee quality assessment. Ingeniare. Revista chilena de ingeniería 30(3), 564-573. DOI: http://dx.doi.org/10.4067/S0718-33052022000300564

Mahdavi, A., Kharazmi, O., Contreras-Reyes, J.E. (2022). On the contaminated weighted exponential distribution: Applications to modeling insurance claim data. Journal of Risk and Financial Management 15(11), 500. DOI: https://doi.org/10.3390/jrfm15110500

Jeldes, N., Ibacache-Pulgar, G., Marchant, C., López-Gonzales, J.L. (2022). Modeling Air Pollution Using Partially Varying Coefficient Models with Heavy Tails. Mathematics 10(19), 3677. DOI: https://doi.org/10.3390/math10193677

Nicolis, O., Riquelme Quezada, L.M., Ibacache-Pulgar, G. (2022). Temporal Cox Process with Folded Normal Intensity. Axioms 11(10), 513. DOI: https://doi.org/10.3390/axioms11100513

Marmolejo-Ramos, F., Tejo, M., Brabec, M., Kuzilek, J., Joksimovic, S., Kovanovic, V., GonzÁlez, J., Kneib, T., Bühlmann, P., Kook, L., Briseño-Sánchez, G., & Ospina, R. (2022). Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. WIREs Data Mining and Knowledge Discovery, e1479. https://doi.org/10.1002/widm.1479.

Bitcoin Here, Bitcoin There, Bitcoin Everywhere Nonetheless Where Are the (Negative) Interest Rates? M. Schullitsch, M. Striedner, V. Mühlbacher, D. Silian, Pavicic,D. Ljubijankic,M. Nagy, E. Hodzic, K. Hauer, J. Kise˘lák, and M. Stehlík https://aip.scitation.org/doi/abs/10.1063/5.0101120

M. Stehlik, C. Navarro, P. Ganske, J. Kimmel, J. Koffler, E. Mistlberger, V. Wimmer, E. Zeintl, 2021, On the symbiotic relationships between South American Sea lions and Humans, Chapter in "Climate Crisis & Creation Care Eco-Economic Sustainability, Ecological Integrity And Justice" 331-350,   ISBN (10): 1-5275-7420-2  ISBN (13): 978-1-5275-7420-5, Editor: Prof. Christina Nellist, Cambridge Scholars Publishing.

Milan Stehlik, Jiri Dusek, Jozef Kiselak, Alexander Brandmayr, Birgit Grubauer, Julia Haider, Roman Pfeiler, Stefan Raidl, Anika Schindlauer, Alexandra Stadler, 2021, Recurrence Analysis of Methane Emissions from Wetland Ecosystem, Chapter in "Climate Crisis & Creation Care Eco-Economic Sustainability, Ecological Integrity And Justice"   308-328,   ISBN (10): 1-5275-7420-2  ISBN (13): 978-1-5275-7420-5, Editor: Dr. Christina Nellist, Cambridge Scholars Publishing, https://www.cambridgescholars.com/product/978-1-5275-7420-5.

Kharazmi, O., Alizadeh, M., Contreras-Reyes, J.E., Haghbin, H. (2022). Arctan-based family of distributions: Properties, survival regression, Bayesian analysis and applications. Axioms 11(8), 399. DOI: https://doi.org/10.3390/axioms11080399

Contreras-Reyes, J.E. (2022). Mutual information matrix based on Rényi entropy and application. Nonlinear Dynamics. DOI: https://doi.org/10.1007/s11071-022-07665-3

Cantor, E., Salas, R., Torres, R. (2022). Femicide and Attempted Femicide before and during the COVID-19 Pandemic in Chile. International Journal of Environmental Research and Public Health 19(13), 8012. DOI: https://doi.org/10.3390/ijerph19138012

Cavieres, J., Ibacache-Pulgar, G., Contreras-Reyes, J.E. (2022). Thin plate spline model under skew-normal random errors: estimation and diagnostic analysis for spatial data. Journal of Statistical Computation and Simulation. DOI:  https://doi.org/10.1080/00949655.2022.2090564

Ibacache-Pulgar, G., Villegas, C., López-Gonzales, J.L. Moraga, M. (2022). Influence measures in nonparametric regression model with symmetric random errors. Statistical Methods & Applications. DOI: https://doi.org/10.1007/s10260-022-00648-z

Contreras-Reyes, J.E. (2022). Rényi entropy and divergence for VARFIMA processes based on characteristic and impulse response functions. Chaos, Solitons & Fractals 160, 112268. DOI: https://doi.org/10.1016/j.chaos.2022.112268

Leite Coelho da Silva, F., da Costa, K., Canas Rodrigues, P., Salas, R., López-Gonzales, J.L. (2022). Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector. Energies, 15(2), 588. DOI: https://doi.org/10.3390/en15020588

López-Medina, E., Camacho-Moreno, G., Brizuela, M. E., Dávalos, D.M., Torres, J. P., Ulloa-Gutierrez, R., ..., Cantor, E., Asturias, E.J. (2022). Factors Associated With Hospitalization or Intensive Care Admission in Children With COVID-19 in Latin America. Frontiers in Pediatrics, 459. DOI: https://doi.org/10.3389/fped.2022.868297

Valderrama, L.A., Barrera, L., Cantor, E.J., Muñoz, J., Arango, J., Tobon, C., Canaud, B. (2022). Mortality in High-Flux Hemodialysis vs. High-Volume Hemodiafiltration in Colombian Clinical Practice: A Propensity Score Matching Study. Kidney and Dialysis, 2(2), 209-220. DOI: https://doi.org/10.3390/kidneydial2020022

Stehlik, M.,  Sabolova,  R.,  Seckarova,  V., Nuñez-Soza, L.,   Kiselak, J. I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile,  Chemometrics and Intelligent Laboratory Systems, https://doi.org/10.1016/j.chemolab.2022.104579

Caamaño-Carrillo, C., Contreras-Reyes, J.E. (2022). A Generalization of the Bivariate Gamma Distribution Based on Generalized Hypergeometric Functions. Mathematics, 10, 1502. DOI: https://doi.org/10.3390/math10091502

Contreras-Reyes, J.E. (2022). Information-theoretic aspects of location parameter estimation under skew-normal settings. Entropy 24(3), 399. DOI: https://doi.org/10.3390/e24030399

Rodríguez, K.M., Bossy, M., Henry, C. (2022). Particle agglomeration in flows: fast data-driven spatial decomposition algorithm for CFD simulations. International Journal of Multiphase Flow 149, 103962. DOI: https://doi.org/10.1016/j.ijmultiphaseflow.2021.103962

Bossy, M., Jabir, J.F., Rodriguez, K.M. (2022). Instantaneous turbulent kinetic energy modelling based on Lagrangian stochastic approach in CFD and application to wind energy. Journal of Computational Physics, 110929. DOI: https://doi.org/10.1016/j.jcp.2021.110929

M. Stehlik ,  J. Kiselak, A. Dinamarca, E. Alvarado, F. Plaza, F.A. Medina, S. Stehlikova, J. Marek, B. Venegas,  A. Gajdos,  Y. Li, S. Katuscak,  A. Brazinova,  Y. Lu (2022) REDACS:  Regional emergency driven  adaptive cluster sampling for effective COVID-19  management, Stochastic Analysis and Applications, DOI: https://doi.org/10.1080/07362994.2022.2033126

Querales, M., Salas, R., Morales, Y., Allende-Cid, H., & Rosas, H. (2022). A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations. Applied Soft Computing, 108535. DOI: https://doi.org/10.1016/j.asoc.2022.108535

Contreras-Reyes, J.E., Brito, A. (2022). Refined cross-sample entropy based on Freedman-Diaconis rule: Application to foreign exchange time series. Journal of Applied and Computational Mechanics. DOI: https://dx.doi.org/10.22055/jacm.2022.39470.3412

Neaman, A., Diaz-Siefer, P., Burnham, E., Castro, M., Zabel, S., Dovletyarova, E.A., Navarro-Villarroel, C., Otto, S. (2021). Catholic religious identity, prosocial and pro-environmental behaviors, and connectedness to nature in Chile. Gaia-Ecological Perspectives for Science and Society 30(1): 44-50. https://doi.org/10.14512/gaia.30.1.9. Q3

Otto, S., Pensini, P., Zabel, S., Diaz-Siefer, P., Burnham, E., Navarro-Villarroel, C., Neaman, A. (2021). The prosocial origin of sustainable behavior: A case study in the ecological domain. Global Environmental Change-Human and Policy Dimensions 69. https://doi.org/10.1016/j.gloenvcha.2021.102312. Q1

Stuckey, J.W., Neaman, A., Verdejo, J., Navarro-Villarroel, C., Penaloza, P., Dovletyarova, E.A. (2021). Zinc Alleviates Copper Toxicity to Lettuce and Oat in Copper-Contaminated Soils. Journal of Soil Science and Plant Nutrition 21(2): 1229-1235. https://doi.org/10.1007/s42729-021-00435-x. Q1

Andrés Villaveces , Antonio Sanhueza , Carlos Felipe Henríquez Roldán , José Antonio Escamilla-Cejudo & Eugenia M. S. Rodrigues (2021). Transport modes and road traffic mortality in the Americas: Deaths among pedestrian and motorcycle users through the lifespan. International Journal of Injury Control and Safety Promotion. DOI: https://doi.org/10.1080/17457300.2020.1858112

Palmeiro-Silva, Y. K., Weinstein-Oppenheimer, C., Henríquez-Roldán, C.F. y Bangdiwala, S. I.. (2021). Alfabetización estadística y comunicación de riesgo para la vacunación contra la COVID-19: una revisión de alcance. Rev Panam Salud Publica 45, 2021 | www.paho.org/journal | https://doi.org/10.26633/RPSP.2021.108

Cordova, C.H., Portocarrero, M.N.L., Salas, R., Torres, R., Rodrigues, P.C., López-Gonzales, J.L. (2021). Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru. Scientific Reports, 11(1), 1-19. DOI: https://doi.org/10.1038/s41598-021-03650-9

Aguilera-Bohórquez, B., Pacheco, J., Castillo, L., Calvache, D., Cantor, E. (2021). Complications of hip endoscopy in the treatment of subgluteal space pathologies. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 37(7), 2152-2161. DOI:  https://doi.org/10.1016/j.arthro.2021.02.016

Chahuán-Jiménez, K., Rubilar-Torrealba, R., & Fuente-Mella, H.D.L. (2021). Market openness and its relationship to connecting markets due to covid-19. Sustainability, 13(19), 10964. DOI: https://doi.org/10.3390/su131910964

Fuente-Mella, H.D.L., Rubilar, R., Chahuán-Jiménez, K., & Leiva, V. (2021). Modeling COVID-19 cases statistically and evaluating their effect on the economy of countries. Mathematics, 9(13), 1558. DOI: https://doi.org/10.3390/math9131558

Cabrera-Paniagua, D., & Rubilar-Torrealba, R. (2021). Affective autonomous agents for supporting investment decision processes using artificial somatic reactions. Journal of Ambient Intelligence and Humanized Computing. DOI: https://doi.org/10.1007/s12652-021-03319-1

Cabrera-Paniagua, D., & Rubilar-Torrealba, R. (2021). A novel artificial autonomous system for supporting investment decisions using a Big Five model approach. Engineering Applications of Artificial Intelligence, 98, 104107. DOI: https://doi.org/10.1016/j.engappai.2020.104107

Cavieres, J., Monnahan, C. C., & Vehtari, A. (2021). Accounting for spatial dependence improves relative abundance estimates in a benthic marine species structured as a metapopulation. Fisheries Research 240, 105960. DOI: https://doi.org/10.1016/j.fishres.2021.105960

L.   Salazar, S. Torres,   J. Kiselak,  F. Fuders,   N. Ishimura,   Y. Yoshizawa,   M. Stehlik  (2021),  
Long memory estimation in a non-Gaussian bivariate process, Applied Mathematics and Computation, https://doi.org/10.1016/j.amc.2021.126871

I Araya, A Christen, M Curé, L S Cidale, R O J Venero, C Arcos, A C Gormaz-Matamala, M Haucke, P Escárate, H Clavería. Analytical solutions for radiation-driven winds in massive stars – II. The δ-slow regime. DOI:https://doi.org/10.1093/mnras/stab995

Alejandra Christen, M. Angélica Maulén-Yañez, Yoselinne Valencia, Eduardo González-Olivares, Diego F. Rial, Michel Curé. Linear incidence rate: Its influence on the asymptotic behavior of a stochastic epidemic model. DOI:  http://dx.doi.org/10.1002/mma.6700

Idrovo-Aguirre, B.J., Contreras-Reyes, J.E. (2021). Monetary fiscal contributions to households and pension fund withdrawals during the COVID-19 pandemic: An approximation of their impact on construction labor supply in Chile. Social Sciences 10(11), 417. DOI: https://doi.org/10.3390/socsci10110417

Milan Stehlik, Jiri Dusek, Jozef Kiselak, Alexander Brandmayr, Birgit Grubauer, Julia Haider, Roman Pfeiler, Stefan Raidl, Anika Schindlauer, Alexandra Stadler, 2021, Recurrence Analysis of Methane Emissions from Wetland Ecosystem, Chapter in "Climate Crisis & Creation Care Eco-Economic Sustainability, Ecological Integrity And Justice" páginas 308-328,   ISBN (10): 1-5275-7420-2  ISBN (13): 978-1-5275-7420-5, Editor: Dr. Christina Nellist, Cambridge Scholars Publishing.

Stehlik, M, J. Kiselak, Dinamarca, A.  Li, Y. and    Ying, Y. On covid19 outbreaks predictions: issues on stability, parameter sensitivity and precision,   Stochastic Analysis and Applications,  Volume 39 (3), 2021, Pages 383-404   DOI:
https://doi.org//0.1080/07362994.2020.1802291
Las actualizaciones son: Año 2021, Volumen 39(3), Páginas  383-404

J. Paseka, S. Solovjovs, and M. Stehlík (2021), Sugeno Integral Over Generalized  Semi-quantales, B. Bede et al. (eds.), Fuzzy Information Processing 2020, Advances in Intelligent Systems and Computing 1337, https://doi.org/10.1007/978-3-030-81561-5_9

Milan Stehlik, Claudia Navarro, Patrick Ganske, Jasmina Kimmel, Julia Koffler, Elisabeth Mistlberger, Victoria Wimmer, Elias Zeintl, 2021, On the symbiotic relationships between South American Sea lions and Humans, Chapter in "Climate Crisis & Creation Care Eco-Economic Sustainability, Ecological Integrity And Justice" paginas 331-350,   ISBN (10): 1-5275-7420-2  ISBN (13): 978-1-5275-7420-5, Editor: Dr. Christina Nellist, Cambridge Scholars Publishing.

Idrovo-Aguirre, B.J., Lozano, F.J., Contreras-Reyes, J.E. (2021). Prosperity or Real Estate Bubble? Exuberance Probability Index of Real Housing Prices in Chile. International Journal of Financial Studies 9(3), 51. DOI: https://doi.org/10.3390/ijfs9030051

Cantor, E., Salas, R., Rosas, H., Guauque-Olarte, S. (2021). Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis. BioData Mining volume 14, 35. DOI: https://doi.org/10.1186/s13040-021-00269-4

Chahuán-Jiménez, K., Rubilar, R., de la Fuente-Mella, H., Leiva, V. (2021). Breakpoint analysis for the COVID-19 pandemic and its effect on the stock markets. Entropy 23, 100. DOI: https://doi.org/10.3390/e23010100

Canessa, E., Chaigneau, S.E., Lagos, R., Medina, F.A. (2021). How to carry out conceptual properties norming studies as parameter estimation studies: Lessons from ecology. Behavior Research Methods 53, 354-370. DOI: https://doi.org/10.3758/s13428-020-01439-8

Héctor Araya, Natalia Bahamonde, Tania Roa & Soledad Torres (2021) Parameter estimation for a discrete time model driven by fractional Poisson process, Communications in Statistics - Theory and Methods, DOI: https://doi.org/10.1080/03610926.2021.1973504

Araya, H., Slaoui, M. & Torres, S. Bayesian inference for fractional Oscillating Brownian motion. Comput Stat (2021). https://doi.org/10.1007/s00180-021-01146-8

Ibacache-Pulgar, G., Figueroa-Zuñiga, J. and Marchant, C. (2021). Semiparametric Additive Beta regression models: Inference and Local Influence Diagnostic. REVSTAT-Statistical Journal,  19, 255-274. https://www.ine.pt/revstat/pdf/REVSTAT_v19-n2-05.pdf

Contreras-Reyes, J.E. (2021). Lerch distribution based on maximum nonsymmetric entropy principle: Application to Conway's Game of Life cellular automaton. Chaos, Solitons & Fractals 151, 111272. DOI: https://doi.org/10.1016/j.chaos.2021.111272

Ramírez-Parietti, I., Contreras-Reyes, J.E., Idrovo-Aguirre, B.J. (2021). Cross-sample entropy estimation for time series analysis: a nonparametric approach. Nonlinear Dynamics. DOI: https://doi.org/10.1007/s11071-021-06759-8

H.araya and N. Bahamonde and L. Fermin and T. Roa and S. Torres (2021). On consistency of least square estimator in models sampled at random times driven by long memory noise: Renewal case. Statistica Sinica. doi: https://doi.org/10.5705/ss.202020.0457

H.araya and N. Bahamonde and L. Fermin and T. Roa and S. Torres (2021). On  the consistency of least square estimator in models sampled at random times driven by long memory noise: The Jittered case. Statistica Sinica. doi: https://doi.org/10.5705/ss.202020.0323

H. Araya and J. Garzón and N. Moreno and F. Plaza (2021). Hermite spatial variations for the solution to the stochastic heat equation. Math. Commun. 26, 253–270.

Contreras-Reyes, J.E., Wiff, R., Soto, J., Donovan, C., Araya, M. (2021). Biphasic growth modelling in elasmobranchs based on asymmetric and heavy-tailed errors. Environmental Biology of Fishes 104 (5), 615–628. DOI: https://doi.org/10.1007/s10641-021-01100-z

Idrovo-Aguirre, B.J., Contreras-Reyes, J.E. (2021). The response of housing construction to a copper price shock in Chile (2009–2020). Economies 9 (3), 98. DOI: https://doi.org/10.3390/economies9030098

Héctor Araya, Johanna Garzón & Tania Roa (2020) Non symmetric Rosenblatt process over a compact, Communications in Statistics - Theory and Methods, DOI: https://doi.org/10.1080/03610926.2020.1734830

Santos-Carvallo M, Barilari F, Pérez-Alvarez MJ, Gutiérrez L, Pavez G, Araya H, Anguita C, Cerda C and Sepúlveda M (2021) Impacts of Whale-Watching on the Short-Term Behavior of Fin Whales (Balaenoptera physalus) in a Marine Protected Area in the Southeastern Pacific. Front. Mar. Sci. 8:623954. doi: https://doi.org/10.3389/fmars.2021.623954

Contreras-Reyes, J.E. (2021). Mutual information matrix based on asymmetric Shannon entropy for nonlinear interactions of time series. Nonlinear Dynamics. DOI: https://doi.org/10.1007/s11071-021-06498-w

Idrovo-Aguirre, B.J., Contreras-Reyes, J.E. (2021). Bayesian monthly index for building activity based on mixed frequencies: the case of Chile. Journal of Economic Studies. DOI: https://doi.org/10.1108/JES-01-2021-0022

Kiseľák, J., Lu, Y., Švihra, J., Szepe, P.,  Stehlik,  M.   “SPOCU”: scaled polynomial constant unit activation function. Neural Comput & Applic 33, 3385–3401 (2021). https://doi.org/10.1007/s00521-020-05182-1

Contreras-Reyes, J.E. (2021). Fisher information and uncertainty principle for skew-gaussian random variables. Fluctuation and Noise Letters 20(5), 21500395. DOI: https://doi.org/10.1142/S0219477521500395

Contreras-Reyes, J.E. (2021). Chaotic systems with asymmetric and heavy-tailed noise: application to 3D attractors. Chaos, Solitons & Fractals 145, 110820. DOI: https://doi.org/10.1016/j.chaos.2021.110820

Abid, S.H., Quaez, U.J., Contreras-Reyes, J.E. (2021). An information-theoretic approach for multivariate skew-t distributions and applications. Mathematics 9(2), 146. DOI: https://doi.org/10.3390/math9020146

Héctor Araya, Jorge A. León & Soledad Torres (2021) On local linearization method for stochastic differential equations driven by fractional Brownian motion, Stochastic Analysis and Applications, 39:1, 55-90, https://doi.org/10.1080/07362994.2020.1779746
https://www.tandfonline.com/doi/abs/10.1080/07362994.2020.1779746


Héctor Araya & Ciprian A. Tudor (2021) Asymptotic expansion for the quadratic variations of the solution to the heat equation with additive white noise, Stochastic and Dynamics, Vol. 21, No. 02, 2150010, https://doi.org/10.1142/S0219493721500106
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François Bachoc , Moreno Bevilacqua and Daira Velandia. Composite likelihood estimation for a Gaussian process under fixed domain asymptotics (2019).Journal of Multivariate Analysis. https://doi.org/10.1016/j.jmva.2019.104534

J. Palacios-Moreno, C. Rubio,  W. Quilhot, M. F. Cavieres, E. de la Peña, N. V. Quiñones, H. Díaz, F. Carrión, C. Henriquez-Roldán and C. R. Weinstein-Oppenheimer. (2019). "Epanorin, a lichen secondary metabolite, inhibits proliferation of MCF-7 breast cancer cells".  Biological Research 52(5), 55. doi: https://doi.org/10.1186/s40659-019-0261-4

P. Jordanova and M. Stehlík. (2019)."Logarithm of ratios of two order statistics and regularly varying tails". 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2019), Bulgaria, 2019. AIP Conference Proceedings 2164. doi: https://doi.org/10.1063/1.5130791

B. J. Idrovo-Aguirre and J. E. Contreras-Reyes. (2019). "Backcasting cement production and characterizing cement’s economic cycles for Chile 1991–2015". Empirical Economics 57(5), 1829-1852. doi: https://doi.org/10.1007/s00181-018-1506-8

O. Nicolis, M. Díaz, S. K. Sahu and J. C. Marin. (2019). "Bayesian spatiotemporal modeling for estimating short‐term exposure to air pollution in Santiago de Chile". Environmetrics 30(7), e2574. doi: https://doi.org/10.1002/env.2574

M. Bevilacqua and T. Faouzi. (2019). "Estimation and prediction using  generalized Cauchy covariance function under fixed domain asymptotics". Electronic Journal of Statistics, 13(2), 3025-3048. doi: https://doi.org/10.1214/19-EJS1597

L. Salazar, O. Nicolis, F. Ruggeri, J. Kisel’ák and M. Stehlík. "Predicting hourly ozone concentrations using wavelets and ARIMA models". Neural Computing and Applications, 31(8), 4331–4340. doi: https://doi.org/10.1007/s00521-018-3345-0

R. B. Arellano-Valle, J. E. Contreras-Reyes, F. O. Lopez-Quintero and A. Valdevenito. (2019). "A skew-normal dynamic linear model and bayesian forecasting". Computational Statistics, 34(3), 1055-1085. doi: https://doi.org/10.1007/s00180-018-0848-1

V. Morales-Oñate and B. Morales-Oñate. (2019)."Una técnica de agrupación robusta para un enfoque big data: CLARABD para tipos de datos mixtos". Perfiles, 2(12).

M. Tejo, H. Araya, S. Niklitschek-Soto and F. Marmolejo-Ramos. (2019). "Theoretical models of reaction times arising from simple-choice tasks". Cognitive Neurodynamics, 13(4), 409-416. doi: https://doi.org/10.1007/s11571-019-09532-1

P. Jordanova and M. Stehlík. (2019)."P-thinned gamma process and corresponding random walk". International Conference of Finite Difference Methods (FDM 2018), Bulgaria, 2018. Finite Difference Methods. Theory and Applications. Lecture Notes in Computer Science, 11386. pp. 297-304. doi: https://doi.org/10.1007/978-3-030-11539-5_33

M. Stehlík, J. P. Maidana, C. Navarro-Villarroel, M. Sepúlveda and D. Oliva. (2019)."On ignorance regions and spatial aspects for south american sea lion (Otary byronia) operational interaction with the artisan gillnet fisher in Chile". International Conference of Finite Difference Methods (FDM 2018), Bulgaria, 2018. Finite Difference Methods. Theory and Applications. Lecture Notes in Computer Science, 11386. pp. 92-101. doi: https://doi.org/10.1007/978-3-030-11539-5_9

M. Stehlík, L. Núñez-Soza, Z. Fabian, M. Jirina, P. Jordanova, S. Arancibia and J. Kiselak. (2019). "On ecological aspects of dynamics for zero slope regression for water pollution in Chile". Stochastic Analysis and Applications, 37(4), 574-601. doi: https://doi.org/10.1080/07362994.2019.1592692

D. Travisany, A. Ayala-Raso, A. Di Genova, L. Monsalve, M. Bernales, J. P. Martínez, M. González-Agüero, B. Defilippi, S. Cherian, A. Maass and L. Fuentes. (2019). "RNA-Seq analysis and transcriptome assembly of raspberry fruit (Rubus idaeus ̈Heritage ̈) revealed several candidate genes involved in fruit development and ripening". Scientia Horticulturae, 254, 26-34. doi: https://doi.org/10.1016/j.scienta.2019.04.018

M. Barasaluce, P. Mondaca, M. Schuhmacher, M. Bravo, S. Sauvé, C. Navarro-Villarroel, E. A. Dovletyarova and A. Neaman. (2019). "Soil and indoor dust as environmental media of human exposure to As, Cd, Cu, and Pb near a copper smelter in central Chile". Journal of Trace Elements in Medicine and Biology, 54, 156-162. doi: https://doi.org/10.1016/j.jtemb.2019.04.006

M. Bernales, L. Monsalve, A. Ayala-Raso, M. Valdenegro, J. P. Martínez, D. Traviani, B. Defilippi, M. González-Agüero, S. Cherian and L. Fuentes. (2019). "Expression of two indole-3-acetic acid (IAA)-amido synthetases (GH3) genes during fruit development and ripening of raspberry (Rubus idaeus Heritage)". Scientia Horticulturae, 246, 168-175. doi: https://doi.org/10.1016/j.scienta.2018.09.077

M. Bevilacqua, T. Faouzi, R. Furrer and E. Porcu. (2019). "Estimation and prediction using generalized wendland covariance function under fixed domain asymptotics". Annals of Statistics, 47(2), 828–856. doi: https://doi.org/10.1214/17-AOS1652

A. Hoseinzadeh, M. Maleki, Z. Khodadadi and J. E. Contreras-Reyes. (2019). "The Skew-Reflected-Gompertz distribution for analyzing symmetric and asymmetric data". Journal of Computational and Applied Mathematics, 349, 132-141. doi:: https://doi.org/10.1016/j.cam.2018.09.011

L. Núñez-Soza, P. Jordanova, O. Nicolis, L.Střelec and M. Stehlík. (2019). "Small sample robust approach to outliers and correlation of atmospheric pollution and health effects in Santiago de Chile". Chemometrics and Intelligent Laboratory Systems. 185, 73-84. doi: https://doi.org/10.1016/j.chemolab.2018.12.010

J. Li, M. Stehlík and Y. Wang. (2019). "Assessment of barriers to public rental housing exits: Evidence from tenants in Beijing, China. Cities, 87, 153-165. doi: https://doi.org/10.1016/j.cities.2018.09.019

P. Jordanova, Z. Sadovský and M. Stehlík. (2017). "Modelling of snow exceedances". International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2016), Greece, 2016, AIP Conference Proceedings, 1863. doi: https://doi.org/10.1063/1.4992285

M. Stehlík, J. Kisełák, G. Holzknecht and F. Fuders. (2017). "On flexible modeling of generalized interest rate". International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2017), Bulgaria, 2017, AIP Conference Proceedings, 1895. doi: https://doi.org/10.1063/1.5007363

P. Jordanova, M. P. Petkova and M. Stehlík. (2017). "Inverse log-gamma-g processes". International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2017), Bulgaria, 2017, AIP Conference Proceedings, 1895. doi: https://doi.org/10.1063/1.5007362

M. Stehlík and J. Kiseľák. (2017). "On stochastic representation of blow-ups for distributed parameter systems". International Conference on Numerical Analysis and Its applications (NAA 2016), Bulgaria, 2016. Numerical Analysis and Its Applications. Lecture Notes in Computer Science, 10187. pp. 132-140. doi: https://doi.org/10.1007/978-3-319-57099-0_12

P. Jordanova, M. P. Petkova and M. Stehlík. (2017). "Compound log-series distribution with negative multinomial summands". International Conference on Numerical Analysis and Its Applications (NAA 2016), Bulgaria, 2016. Numerical Analysis and Its Applications. Lecture Notes in Computer Science, 10187. pp. 383-390. doi: https://doi.org/10.1007/978-3-319-57099-0_42

V. Morales-Oñate and B. Morales-Oñate. (2017). "Regresión lineal bajo diseños muestrales complejos: un enfoque aplicado". Analitika, 14(2), 103-124.

R. Potocky, C. Navarro-Villarroel, M. Sepúlveda M. and M. Stehlík. (2017). "Random elements on lattices: Review and statistical applications,". International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2016), Greece, 2016. AIP Conference Proceedings, 1863(1). doi: https://doi.org/10.1063/1.4992283

D. Nava, F. De Bastiani, M. Uribe-Opazo, O. Nicolis and M. Galea. (2017). "Local Influence for Spatially Correlated Binomial Data: An Application to the Spodoptera frugiperda Infestation". Journal of Agricultural, Biological and Environmental Statistics, 22(4), 540-561. doi: https://doi.org/10.1007/s13253-017-0306-5

A. R. Francis, M. Stehlík and H. P. Wynn. (2017). "Building exact confidence nets". Bernulli, 23(4B), 3145-3165. doi: https://doi.org/10.3150/16-BEJ839

R. B. Arellano-Valle, J. E. Contreras-Reyes and M. Stehlík. (2017). "Generalized Skew-Normal Negentropy and Its Application to Fish Condition Factor Time Series". Entropy, 19(10), 528. doi: https://doi.org/10.3390/e19100528

J. Kiseľák, P. Hermann and M. Stehlík. (2017). "Negative interest rates: why and how?". Mathematica Slovaca, 67(5), 1165-1178. doi: https://doi.org/10.1515/ms-2017-0040

M.Stehlík, P. Hermann, S.Torres, J. Kiseľák and A.Rivera. (2017). "On dynamics underlying variance of mass balance estimation in Chilean glaciers". Ecological Complexity, 31, 149-164. doi: https://doi.org/10.1016/j.ecocom.2017.06.008

O. Nicolis, F. Kiselak-Porro and M. Stehlík. (2017). "Multi-fractal cancer risk assessment". Stochastic Analysis and Applications, 35(2), 237-256. doi: https://doi.org/10.1080/07362994.2016.1238766

F. O. Lopez-Quintero, J. E. Contreras-Reyes and R. Wiff. (2017). "Incorporating uncertainty into a length-based estimator of natural mortality in fish populations". Fishery Bulletin, 115(3), 355-364. doi: https://doi.org/10.7755/FB.115.3.6

M. Stehlík, Ch.Helperstorfer, P.Hermann, J.Šupina, L.M. Grilo, J.P.Maidana, F.Fuders and S. tehlíková. (2017). "Finantial and risk modelling with semicontinuous covariances". Information Sciences, 394-395, 246-272. doi: https://doi.org/10.1016/j.ins.2017.02.002

I. Mozos, J. P. Maidana, D. Stoian and M. Stehlik. (2017). "Gender Differences of Arterial Stiffness and Arterial Age in Smokers". International Journal of Environmental Research and Public Health, 14, 565. doi: https://doi.org/10.3390/ijerph14060565

W. D. Richter, L. Střelec, H. Ahmadinezhad and M. Stehlík. (2017). "Geometric aspects of robust testing for normality and sphericity". Stochastic Anaysis and Applications, 35(3). 511-532. doi: https://doi.org/10.1080/07362994.2016.1273785

M.Stehlík, P.Aguirre, S. Girardd. Jordanova, J. Kiseľák, S. Torres, Z.Sadovský and A.Rivera. (2017). "On ecosystems dynamics". Ecological Complexity, 29, 10-29. doi: https://doi.org/10.1016/j.ecocom.2016.11.002

P. Jordanova, Y. Nefedova and M.Stehlík. (2017). "Risk process approximation woth mixing". Applied Mathematical Modelling, 41, 284-298. doi: https://doi.org/10.1016/j.apm.2016.08.028

M. Stehlík, J. Kiseľák, R. Potocký and P. Jordanova. (2017). "Generalized interest rate dynamics and its impacts on finance and pensions". Stochastic Analysis and Applications, 35(1). 178-190. doi: https://doi.org/10.1080/07362994.2016.1224975

F. Cuevas, E. Porcu and M. Bevilacqua. (2017). "Contours and Dimples for the Gneiting class of Space-Time Covariance Functions". Biometrika, 104(4), 995-1001. doi: https://doi.org/10.1093/biomet/asx048

E. Porcu, V. Zastavnyi and M. Bevilacqua. (2017). "Buhmann Covariance Functions, their Compact Supports, and their Smoothness". Dolomites Research Notes on Approximation, 10(1), 33-42. doi: https://doi.org/10.14658/pupj-drna-2017-1-5

A. Alegrıa, S. Caro, M. Bevilacqua, E. Porcu and J. Clarke. (2017). "Estimating covariance functions of multivariate skew-Gaussian random fields on the sphere". Spatial Statistics, 22(2), 388-402. doi: https://doi.org/10.1016/j.spasta.2017.07.009

D. Velandia, F. Bachoc, M. Bevilacqua, X. Gendre and J. M. Loubes. (2017). "Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics". Electronic Journal of Statistics, 11(2), 2978-3007. doi: https://doi.org/10.1214/17-EJS1298

K. C. Cuadros, K. G. Padilha, M. C. Toffoletto, C. Henriquez-Roldán and M. A. J. Canales. (2017). "Patient Safety Incidents and Nursing Workload". Revista Latino-Americana de Enfermagem, 25, e2841. doi: http://dx.doi.org/10.1590/1518-8345.1280.2841

O. Nicolis, C. Caamaño, J. C. Marín and S. K. Sahu. (2017). "Spatio-temporal modelling for assessing air pollution in Santiago de Chile". World Congress: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences (ICNPAA 2016), France, 2016. AIP Conference Proceedings, 1798, 020113. doi: https://doi.org/10.1063/1.4972705

P. Jordanova and M. Stehlík. (2018). "On multivariate modifications of Cramer-Lundberg risk model with constant intensities". Stochastic Analysis and Applications 36(5), 858-882. doi: https://doi.org/10.1080/07362994.2018.1471403

M. Stehlík, J. Kisel'Ák and D. L. Londoño. (2018). "Percolation based tissue modeling". International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2018), Bulgaria, 2018, AIP Conference Proceedings, 2025. doi: https://doi.org/10.1063/1.5064878

J. Kisel'Ák, J. Dušek and M. Stehlík. (2018). "Recurrence of CH4 and CO2 emissions measured by a non-steady state flow-through chamber system". International Conference on Mathematical Problems in Engineering, Aerospace and Sciences (ICNPAA 2016), Armenia, 2018, AIP Conference Proceedings, 2046. doi: https://doi.org/10.1063/1.5081566

L. Monsalve, A. Ayala-Raso, M. Bernales, M. Valdenegro, B. Defilippi, M. González-Agüero, S. Cherian and L. Fuentes. (2018). "Dataset on quality and physiological changes of raspberry fruit during their development and under auxin in-vitro assay". Data in Brief, 21, 1521-1525. doi: https://doi.org/10.1016/j.dib.2018.10.089

V. Morales-Oñate and C. Jiménez-Mosquera. (2018). "Estimadores de áreas pequeñas: cálculo de proporciones poblacionales para el caso ecuatoriano". Analitika, 15(1), 63-86

J. Pardo, P. Mondaca, J. Celis-Diez, R. Ginocchio, C. Navarro-Villarroel and A. Neaman. (2018). "Assesment of revegetation of an acidic metal(loid)-polluted soils six years after incorporation of lime with and without compost". Geoderma, 331, 81-86. doi: https://doi.org/10.1016/j.geoderma.2018.06.018

M. Sepúlveda, T. Martínez, D. Oliva, P. Couve, G. Pavez, C. Navarro-Villarroel, M. Stehlík, L. R. Durán and G. Luna-Jorquera. (2018). "Factors affecting the operational interaction between the South American sea lions and the artisan gillnet fishery in Chile". Fisheries Research, 201, 147-152. doi: https://doi.org/10.1016/j.fishres.2018.01.014

E. Porcu, M. Bevilacqua and A. Hering. (2018). "The Shkarofsky-Gneiting Class of Covariance Models for Bivariate Gaussian Random Fields". Stat, 7(1), e207. doi: https://doi.org/10.1002/sta4.207

A. Arafat, E. Porcu, M. Bevilacqua and J. Mateu. (2018). "Equivalence and Orthogonality of Gaussian Measures on Spheres". Journal of Multivariate Analysis, 167(1), 306-318. doi: https://doi.org/10.1016/j.jmva.2018.05.005

E. Jorquera and H. Rosas. (2018). "Visual summarization of online news through topics using Latent Dirichlet Allocation," 7th Latin American Conference on Networked and Electronic Media (LACNEM 2017), Valparaiso, 2017, pp. 1-6. doi: https://doi.org/10.1049/ic.2017.0038

G. Ibacache-Pulgar and S. Reyes. (2018). "Local influence for elliptical partially varying-coefficient model". Statistical Modelling, 18(2), 149–174. doi: https://doi.org/10.1177/1471082X17728770

J. Cavieres and O. Nicolis. (2018). "Using a spatio-temporal Bayesian approach to estimate the relative abundance index of yellow squat lobster (Cervimunida johni) off Chile". Fisheries Research. 28, 97-104. doi: https://doi.org/10.1016/j.fishres.2018.07.002

J. E. Contreras-Reyes, F. O. Lopez-Quintero and A. A. Yanez. (2018). "Towards Age Determination of Southern King Crab (Lithodes santolla) Off Southern Chile Using Flexible Mixture Modeling". Journal of Marine Science and Engineering, 6(4), 157. doi: https://doi.org/10.3390/jmse6040157

O. Nicolis and R. A. Pascual. (2018). "A special issue on: Statistical methods in mining industry". Applied Stochastic Models Business and Industry. 34(3), 259–260. doi: https://doi.org/10.1002/asmb.2339

J. E. Contreras-Reyes, F. O. Lopez-Quintero and R. Wiff. (2018). "Bayesian modeling of individual growth variability using back-calculation: Application to pink cusk-eel (Genypterus blacodes) off Chile". Ecological Modelling, 385, 145-153. doi: https://doi.org/10.1016/j.ecolmodel.2018.07.002

M. Stehlik, J. Somorcik, L. Strelec and J. Antoch, (2018). "Approximation of information divergences for statistical learning with applications". Mathematica Slovaca, 68(5), 1149-1172. doi: https://doi.org/10.1515/ms-2017-0177

S. Barana, C.Szák-Kocsisa and M.Stehlík. (2018). "D-optimal designs for complex Ornstein–Uhlenbeck processes". Journal of Statistical Planning and Inference. 197, 93-106. doi: https://doi.org/10.1016/j.jspi.2017.12.006

I. Kupka, J. Kiseľák, N. Ishimura, Y. Yoshizawa, L. Salazar and M. Stehlík. (2018). "Time evolutions of copulas and foreign exchange markets". Information Sciences, 467, 163-178. doi: https://doi.org/10.1016/j.ins.2018.07.052

K. Walker, A. Aranis and J. E. Contreras-Reyes. (2018). "Possible Criterion to Estimate the Juvenile Reference Length of Common Sardine (Strangomera bentincki) off Central-Southern Chile". Journal of Marine Science and Engineering, 6(3), 82. doi: https://doi.org/10.3390/jmse6030082

M. Stehlík, P. Economou, L. Papić, J. Aronov, O. Nicolis, J. Antoch. E. Cézová and J. Kiseľák. (2018). "Statistical testing of availability for mining technological systems with air quality constraints". Applied Stochastic Models Business and Industry. 34, 278-292. doi: https://doi.org/10.1002/asmb.2337

D. Nava, O. Nicolis, M. Uribe-Opazo and F. De Bastiani. (2018). "Statistical methods for identifying anisotropy in the Spodoptera frugiperda spatial distribution". Spanish Journal of Agricultural Research. 16, 2171-9292. doi: https://doi.org/10.5424/sjar/2018161-11916

P. Jordanova and J. Kiseľák and M. Stehlík. (2018). "Log-gamma motion as flexible model for generalized interest rates". Journal Stochastic Analysis and Applications, 36(3), 373-392. doi: https://doi.org/10.1080/07362994.2017.1400917

C. Lillo, V. Leiva, O. Nicolis and R. G. Aykroyd. (2018). "L-moments of the Birnbaum-Saunders distribution and its extreme value version: estimation, goodness of fit and application to earth- quake data". Journal of Applied Statistics, 45(2), 187-209. doi: https://doi.org/10.1080/02664763.2016.1269729

F. O. Lopez-Quintero and J. E. Contreras-Reyes. (2018). "Estimation for finite mixture of simplex models: applications to biomedical data". Statistical Modelling, 18(2), 129-148. doi: https://doi.org/10.1177/1471082X17722607

P. Jordanova, M. P. Petkova and M. Stehlík. (2016). "Compound negative binomial distribution with negative multinomial summands". International Conference on Applications of Mathematics in Engineering and Economics (AMEE 2016), Bulgaria, 2016, AIP Conference Proceedings, 1789. doi: https://doi.org/10.1063/1.4968501

M. Stehlík, S. Stehlíková and S. Torres. (2016). "Understanding water extremes with caution". International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2015), Greece, 2015, AIP Conference Proceedings, 1738. doi: https://doi.org/10.1063/1.4951814

S. Ramos-Avasola, C. Kartulovic, C. Gamboa, J. Gamarra and M. Catalán. (2016). "¿Son reproducibles las mediciones dosimétricas a bajas dosis en cardiologóa intervencionista?". Revista Chilena de radiología, 22(2), 70-75. doi: https://doi.org/10.1016/j.rchira.2016.06.003

L. Fuentes, M. Valdenegro, M. G, Gómez ,A. Ayala-Raso, E. Quiroga, J. P. Martínez, R. Vinet, E. Caballero, C. R. Figueroa. (2016). "Characterization of fruit development and potential health benefits of arrayan (Luma apiculata), a native berry of South America". Food Chemistry, 196, 1239-1247. doi: https://doi.org/10.1016/j.foodchem.2015.10.003

P. Jordanova, Z. Fabián, P. Hermann, L. Střelec, A. Rivera, S. Girard, S. Torres and M. Stehlík. (2016). "Weak properties and robustness of t-Hill estimators". Extremes, 19(4), 591-626. doi: https://doi.org/10.1007/s10687-016-0256-2

J. Paseka, S. A. Solovyov and M. Stehlík. (2016). "On a topological universe of L-bornological spaces". Soft Computing, 20(7), 2503-2512. doi: https://doi.org/10.1007/s00500-015-1905-0

S. Ramos-Avasola, N. Diaz, R. Roldan, J. Gamarra and M. Catalan. (2016). "Radiation protection provided by tungsten bismuth caps during interventional cardiology".Revista Médica de Chile, 144(7), 837-843. doi: https://doi.org/10.4067/S0034-98872016000700003

M. Stehlík, P. Hermann and O. Nicolis. (2016). "Fractal based cancer modelling". REVSTAT – Statistical Journal, 14 (2), 139-155.

P. Jordanova and M. Stehlík. (2016)."Mixed Poisson process with Pareto mixing variable and its risk applications". Lithuanian Mathematical Journal, 56(2), 189–206. doi: https://doi.org/10.1007/s10986-016-9313-4

M. Stehlík. (2016). "On convergence of topological aggregation functions". Fuzzy Sets and Systems, 287, 48-56. doi: https://doi.org/10.1016/j.fss.2014.11.022

M. Stehlík, J. Dusek and Kiseľák. (2016). "Missing chaos in global climate change data interpreting?". Ecological Complexity, 25, 53-59. doi: https://doi.org/10.1016/j.ecocom.2015.12.003

M. Bevilacqua, A. Alegria, D. Velandia and E. Porcu. (2016). "Composite likelihood inference for multivariate Gaussian random fields". Journal of Agricultural Biological and Environmental Statistics, 21(3), 448-469. doi: https://doi.org/10.1007/s13253-016-0256-3

A. Alegria, M. Bevilacqua and E. Porcu. (2016). "Likelihood-based inference for multivariate space-time wrapped-Gaussian fields". Journal of Statistical Computation and Simulation, 86(13), 2583-2597. doi: https://doi.org/10.1080/00949655.2016.1162309

M. Bevilacqua, A. Fassò, C. Gaetan, E. Porcu and D. Velandia. (2016). "Covariance tapering for multivariate Gaussian random fields estimation". Statistical Methods and Application, 25(1), 21-37. doi: https://doi.org/10.1007/s10260-015-0338-3

S. Liu, V. Leiva, T. Ma and A Welsh. (2016). "Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions". Statistical Methods and Applications, 25(2), 227-249. doi: https://doi.org/10.1007/s10260-015-0329-4

V. Leiva, S. Lui, L. Shi and F. Cysneiros. (2016). "Diagnostics in elliptical regression models with stochastic restrictions applied to econometrics". Journal of Applied Statistics, 43(4), 627-642. doi: https://doi.org/10.1080/02664763.2015.1072140

V. Leiva, M. Ferreira, M. I. Gomes and C. Lillo. (2016). "Extreme value Birnbaum-Saunders regression models applied to environmental data". Stochastic Environmental Research and Risk Assessment, 30(3), 1045-1058. doi: https://doi.org/10.1007/s00477-015-1069-6

V. Leiva, M. Santos-Neto, F. Cysneiros and M. Barros. (2016). "A methodology for stochastic inventory models based on a zero-adjusted Birnbaum-Saunders distribution". Applied Stochastic Models in Business and Industry, 31, 74-89. doi: https://doi.org/10.1002/asmb.2124

M. Khosravi, V. Leiva, A. Jamalizadeh and E. Porcu. (2016). "On a nonlinear Birnbaum-Saunders model based on a bivariate construction and its characteristics". Communications in Statistics-Theory and Methods, 45(3), 772-793. doi: https://doi.org/10.1080/03610926.2013.851223

Figueroa-Zuñiga, J., Sanhueza, R., Ibacache-Pulgar, G. and  Lagos-Alvarez, B. (2020). Trapezoidal Kumaraswamy Distribution.  Chilean Journal of Statistics, 11, 163-176. http://soche.cl/chjs/volumes/11/ChJS-11-02-06.pdf

López-Gonzales, J., Calili, R., Leite Coelho da Silva, F., Carbo-Bustinza, N., Ibacache-Pulgar, G. and Castro Souza, R. (2020). Simulation of the Energy Efficiency Auction Prices viaMarkov Chain Monte Carlo Method. Energies, 13, 1-19. https://www.mdpi.com/1996-1073/13/17/4544

Tarasova, E., Drogobuzhskaya, S., Tapia-Pizarro, F., Morev, D.V., Brykov, V.A.,Dovletyarova, E.A., Slukovskaya, M., Navarro-Villarroel, C., Paltseva, A.A.,Neaman, A. (2020). Vermiculite-lizardite industrial wastes promote plant growth in a peat soil affected by a Cu/Ni Smelter: a Case Study at the Kola Peninsula, Russia. Journal of Soil Science and Plant Nutrition 20:1013–1018. https://doi.org/10.1007/s42729-020-00188-z

Prudnikova, E.V., Neaman, A., Terekhova, V.A., Karpukhin, M.M., Vorobeichik, E.L., Smorkalov, I.A., Dovletyarova, E.A., Navarro-Villarroel, C., Ginocchio, R. (2020). A root elongation method for the quality assessment of metal-polluted soils: Whole soil or soil-water extract?. Journal of Soil Science and Plant Nutrition, 20:2294–2303, https://doi.org/10.1007/s42729-020-00295-x

Grigorita G., Neaman, A., Brykova, R., Brykov, V., Morev, D., Ginocchio R., Paltseva, A., Vidal, K., Navarro-Villarroel C., Dovletyarova, E. (2020). Use of Zinc Carbonate spiking to obtain phytotoxicity thresholds comparable to those in field‐collected soils. Environmental Toxicology and Chemistry—Volume 39, Number 9—pp. 1790–1796, wileyonlinelibrary.com).
https://doi.org/10.1002/etc.4809

Stehlík, M, Grilo, L.M., Jordanova, P. Editorial to special issue V WCDANM 2018, Journal of Applied Statistics, 47, https://doi.org/10.1080/02664763.2020.1818489

M. Stehlík, J. Filus, S. Stehlíková, L. Filus, On statistical aspects of advanced stochastic modeling of lava flows of volcano Lonquimay, ICDQM 2020, ISBN 978-86-86355-42-3

Pavlina K. Jordanova and M. Stehlík, Distribution sensitive estimators of the index of regular variation based on ratios of order statistics, AIP Conference Proceedings 2302, 030002 (2020); https://doi.org/10.1063/5.0033940

M. Stehlík, L. Střelec, G. Holzknecht, and J. Kise̞lák, Analysis of ECB consolidated banking data and Covid19-outbreaks: Perspectives for negative interest rates, AIP Conference Proceedings 2302, 030004 (2020); https://doi.org/10.1063/5.0034531

Alejandra Christen, M. Angélica Maulén‐Yañez, Yoselinne Valencia, Eduardo González‐Olivares, Diego F. Rial, Michel Curé. Linear incidence rate: Its influence on the asymptotic behavior of a stochastic epidemic model. https://doi.org/10.1002/mma.6700

Yerel Morales, Marvin Querales, Harvey Rosas, HéctorAllende-Cid, Rodrigo Salas.A Self-Identification Neuro-Fuzzy Inference framework for modeling Rainfall-Runoff in a Chilean watershed. https://doi.org/10.1016/j.jhydrol.2020.125910

Stehlik, M, J. Kiselak, Dinamarca, A. Li, Y. and Ying, Y. On covid19 outbreaks predictions: issues on stability, parameter sensitivity and precision, Stochastic Analysis and Applications, https://doi.org/10.1080/07362994.2020.1802291

J. Kiselak, Y. Lu, J. Svihra, P. Szepe, M. Stehlik (2020) "SPOCU": scaled polynomial constant unit activation function, Neural Computing and Applications, https://doi.org/10.1007/s00521-020-05182-1
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Araya, H., León, J.A. & Torres, S. Numerical Scheme for Stochastic Differential Equations Driven by Fractional Brownian Motion with 1/4<H <1/2.. J Theor Probab 33, 1211–1237 (2020). https://doi.org/10.1007/s10959-019-00902-3

Stehlik et al. (2020), Priority statement and some properties of  t-lgHill estimator,    Extremes, https://doi.org/10.1007/s10687-020-00375-2

M. Stehlik, J. Kiselak, E. Bukina, Y. Lu, S. Baran,  (2020)   Fredholm integral relation between compound estimation and prediction (FIRCEP),  Stochastic Analysis and Applications, https://doi.org/10.1080/07362994.2019.1696211

P. Mantalos, A. Karagrigoriou, L. Strelec, P. Jordanova, P. Hermann, J. Kiselak, J. Hudak, M. Stehlik, (2020) On improved volatility modelling by fitting skewness in ARCH models,   Journal of Applied Statistics, 47:6, 1031-1063, https://doi.org/10.1080/02664763.2019.1671323

L. Salazar, O. Nicolis, F. Ruggeri, J. Kiselak, M. Stehlik (2019) Predicting hourly ozone concentrations using wavelets and ARIMA models,  Neural Computing and Applications.  31(8), 4331-4340, https:/doi.org/10.1007/s00521-018-3345-0

Stehlik, M., Mirtha Pari Ruiz,   Stehlikova, S.    Lu, Y. On equidistant designs,  symmetries  and their  violations in multivariate models, Springer Nature Switzerland AG 2020, Fan and J. Pan (eds.), Contemporary Experimental Design,Multivariate Analysis and Data Mining,https://link.springer.com/chapter/10.1007%2F978-3-030-46161-4_14

Stehlik M., Kiselak, J. and Dusek, J. (2019) On ecosystem dynamics for the conservation of wetlands and forest, Springer, F. Fuders and P. J. Donoso (eds.), Ecological Economic and Socio Ecological Strategies for Forest Conservation, https://doi.org/10.1007/978-3-030-35379-7_9

M. Maleki, D. Wraith, M. Mahmoundi and J. Contreras-Reyes. (2020). "Asymmetric heavy-tailed vector auto-regressive processes with application to financial data". Journal of Statistical Computation and Simulation 90(2), 324-340. doi: https://doi.org/10.1080/00949655.2019.1680675

P. Jordanova and M. Stehlík. (2020). "IPO estimation of heaviness of the distribution beyond regularly varying tails". Stochastic Analysis and Applications 38(1), 76-96. doi: https://doi.org/10.1080/07362994.2019.1647786

M. Bevilacqua, R. Vallejos and D. Velandia. (2015). "Assessing the significance of the correlation between the components of a bivariate Gaussian random field". Environmetrics, 26(8), 545-556. doi: https://doi.org/10.1002/env.2367

E. Porcu, M. Bevilacqua and M. Genton. (2015). "Spatio-Temporal Covariance and Cross-Covariance Functions of the Great Circle Distance on a Sphere". Journal of the American Statistical Association, 111(514), 888-898. doi: https://doi.org/10.1080/01621459.2015.1072541

M. Bevilacqua, A. S. Hering and E. Porcu. (2015). "On the flexibility of multivariate covariance models: Comment on the Paper by Genton and Kleiber". Statistical Science, 30(2), 167–169. doi: https://doi.org/10.1214/15-STS516

S. Padoan and M. Bevilacqua. (2015). "Analysis of Random Fields Using CompRandFld". Journal of the Statistical Software, 63(9), 1-27. doi: http://hdl.handle.net/10.18637/jss.v063.i09

M. Bevilacqua and C. Gaetan. (2015). "Comparing composite likelihood methods based on pairs for spatial Gaussian random fields". Statistics and Computing, 25(5), 877-892. doi: https://doi.org/10.1007/s11222-014-9460-6

M. Bevilacqua, F. Crudu and E. Porcu. (2015). "Combining Euclidean and composite likelihood for binary spatial data estimation". Stochastic Environmental Research and Risk Assessment, 29(2), 335-346. doi: https://doi.org/10.1007/s00477-014-0938-8

J. D. Daley, E. Porcu and M. Bevilacqua. (2015). "Classes of compactly supported covariance functions for multivariate random fields". Stochastic Environmental Research and Risk Assessment. 29(4), 1249-1263. doi: https://doi.org/10.1007/s00477-014-0996-y

O. Nicolis and J. Mateu. (2015). "2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile". Entropy, 17(6), 4155-4172. doi: https://doi.org/10.3390/e17064155

O. Nicolis and J. Mateu. (2015). "Discussion of the paper Analysis of Spatio-Temporal Mobile Phone Data: a Case Study in the Metropolitan Area of Milan”. Statistical Methods and Applications, 24(2), 315-319. doi: https://doi.org/10.1007/s10260-015-0311-1

P. Hermann, T. Mrkvicka, T. Mattfeldt, M. Minrov, K. Helisov, O. Nicolis, F. Wartner M. Stehlík. (2015). "Fractal and Stochastic Geometry Inference for Breast Cancer: Case Study with Random Fractals Models and Quermass-Interaction Process". Statistics in Medicine, 34 (18), 2636–2661. doi: https://doi.org/10.1002/sim.6497

O. Nicolis, M. Chiodi and G. Adelfio. (2015). "Windowed ETAS models with application to the Chilean seismic catalogs". Spatial Statistics, 14 (B), 151-165. doi: https://doi.org/10.1016/j.spasta.2015.05.006

J. Mateu and O. Nicolis. (2015). "Multiresolution analysis of linearly-oriented spatial point patterns". Journal of Statistical Computation and Simulation, 85 (3), 621-637. doi: https://doi.org/10.1080/00949655.2013.838565

J. Duran, M. P. Sanchez, M. Mola, V. Götzens, J. Carballo, E. M. Pelegrina, M. Petit, O. Abdul-Jawad, I. Otaegui, B. G. del Blanco, D. García-Dorado, J. Reig, A. Cordero and J. M. de Anta. (2015). "Genetic association study of coronary collateral circulation in patients with coronary artery disease using 22 single nucleotide polymorphisms corresponding to 10 genes involved in postischemic neovascularization". BCM Cardiobascular Disorders, 15, 37. doi: https://doi.org/10.1186/s12872-015-0027-z

B. G. Cobo, L. Rodriguez, M. Catalan, M. Lutz. (2015). "Sodium content of meals provided by the National Public Schools Feeding Program and its realtionship with nutritional status and blood pressure in children from first grade, Quillota, Chile". Revista Chilena de Nutrición, 42(2), 114-120. doi: https://doi.org/10.4067/S0717-75182015000200001

J. Ocana, M. P. Sanchez and J. L. Carrasco. (2015). "Carryover negligibility and relevance in bioequivalence studies". 15(5), 400-408. doi: https://doi.org/10.1002/pst.1699

E. Deniz-Howe and O. Nicolis. (2015). "Genetic Algorithm in the Wavelet Domain for Large p Small n Regression". Communications in Statistics – Theory and Methods, 44(5), 1144-1157. doi: https://doi.org/10.1080/03610918.2013.809101

V. Leiva, C. Marchant, F. Ruggeri and H. Saulo. (2015). "A criterion for environmental assessment using Birnbaum-Saunders attribute control charts". Environmetrics, 26(7), 463-476. doi: https://doi.org/10.1002/env.2349

L. Sanchez, V. Leiva, F. J. Caro-Lopera and F. Cysneiros. (2015). "On matrix-variate Birnbaum-Saunders distributions and their estimation and application". Brazilian Journal of Probability and Statistics, 29(4), 790-812. doi: https://doi.org/10.1214/14-BJPS247

R. Fierro, V. Leiva and J. Moller. (2015). "The hawkes process with different exciting functions and its asymptotic behavior". Journal of Applied Probability, 52, 37-54. doi: https://doi.org/10.1239/jap/1429282605

R. Fierro, V. Leiva and N. Balakrishnan. (2015). "Statistical Inference on a Stochastic Epidemic Model". Communications in Statistics-Simulation and Computation, 44(9), 2297-2314. doi: https://doi.org/10.1080/03610918.2013.835409

G. Guillot, R. Schilling, E. Porcu and M. Bevilacqua. (2014). "Valid covariance models for the analysis of geographical genetic variation". Methods in Ecology and Evolution, 5(4), 329-335. doi: https://doi.org/10.1111/2041-210X.12167

G. Ibacache-Pulgar, G. A. Paula and M. Galea. (2014). "On influence diagnostics in elliptical multivariate regression models with equicorrelated random errors". Statistical Methodology, 16, 14-31. doi: https://doi.org/10.1016/j.stamet.2013.06.001

V. Leiva, H. Saulo, J. Leao and C. Marchant. (2014) ."A family of autoregressive conditional duration models applied to financial data". Computational Statistics and Data Analysis, 79, 175-191. doi: https://doi.org/10.1016/j.csda.2014.05.016

E. Frutos, M. P. Galindo and V. Leiva. (2014). "An interactive biplot implementation in R for modeling genotype-by-environment interaction". Stochastic Environmental Research and Risk Assessment, 28(7), 1629-1641. doi: https://doi.org/10.1007/s00477-013-0821-z

V. Leiva, C. Marchant, H. Saulo, M. Aslam and F. Rojas. (2014). "Capability indices for Birnbaum-Saunders processes applied to electronic and food industries". Journal of Applied Statistics, 41(9), 1881-1902. doi: https://doi.org/10.1080/02664763.2014.897690

M. Barros, V. Leiva, R. Ospina and A. Tsuyuguchi. (2014). "Goodness-of-Fit Tests for the Birnbaum-Saunders Distribution With Censored Reliability Data". IEEE Transactions on Reliability, 63(2), 543-554. doi: https://doi.org/10.1109/TR.2014.2313707

V. Leiva, E. Rojas, M. Galea and A. Sanhueza. (2014). "Diagnostics in Birnbaum-Saunders accelerated life models with an application to fatigue data". Applied Stochastic Models in Business and Industry, 30(2), 115-131. doi: https://doi.org/10.1002/asmb.1944

V. Leiva, M. Santos-Neto, F. Cysneiros and M. Barros. (2014). "Birnbaum–Saunders statistical modelling: a new approach". Statistical Modelling, 14(1), 21-48. doi: https://doi.org/10.1177/1471082X13494532

N. Remenyi, O. Nicolis, G. Nason and B. Vidakovic. (2014). "Image Denoising with 2-D Scale- Mixing Complex Wavelet Transforms". IEEE TRANSACTIONS ON IMAGE PROCESSING, 23(12), 5165 – 5174. doi: https://doi.org/10.1109/TIP.2014.2362058

M. Santon-Neto, J. A. Cysneiros, V. Leiva and M. Barros. (2014). "A reparameterized Birnbaum-Saunders distribution and its moments, estimation and applications". REVSTAT-Statistical Journal, 12(3), 247-272.

F. O. Lopez-Quintero and E. Porcu. (2014). "Extensions of object oriented data analysis". Biometrical Journal, 56(5), 764-765. doi: https://doi.org/10.1002/bimj.201300181

J. Duran, M. P. Sanchez, M. Mola, V. Götzens, J. Carballo, E. Martín-Pelegrina, M. Petit, B. García Del Blanco, D. García-Dorado, J. M. de Anta. (2014). "El polimorfismo de un solo nucleo´tido PLAU P141L se asocia con el grado de circulacio´n colateral en pacientes con enfermedad arterial coronaria". Revista Española de Cardiología, 67(7), 552-557. doi: https://doi.org/10.1016/j.recesp.2013.11.022

E. Porcu, D. J. Daley, M. Buhmann and M. Bevilacqua. (2013). "Radial basis functions with compact support for multivariate geostatistics". Stochastic Environmental Research and Risk Assessment, 27(4), 909-922. doi: https://doi.org/10.1007/s00477-012-0656-z

E. Porcu and R. L. Schilling. (2013). "From Scholenberg to Pick Nevanlinna: Towards a complete picture of the variogram class". Bernoulli, 19(5B), 2768-2768. doi: https://doi.org/10.3150/12-BEJ465

G. Ibacache-Pular, G. A. Paula, F. Cysneiros. (2013). "Semiparametric additive models under symmetric distributions". Test, 22(1), 103-121. doi: https://doi.org/10.1007/s11749-012-0309-z.

F. Cuevas, E. Porcu and R. Vallejos. (2013). "Study of spatial relationships between two sets of variables: a nonparametric approach". Journal of Nonparametrics Statistics, 25(3), 695-714. doi: https://doi.org/10.1080/10485252.2013.797091.

M. Amos-Salas, J. Lopez-Hidalgo, E. Porcu. (203). "Optimal designs for some stochastic processes whose covariance is a function of the mean". Test, 22(1), 159-181. doi: https://doi.org/10.1007/s11749-012-0311-5.

F. Villanca, M. Rodriquez-Motta and L. Victor. (2013). "On a variante stabilizing models and its applications to genomic data". Journal of Applied Statistics, 40(11), 2354-2371. doi: https://doi.org/10.1080/02664763.2013.811480.

H. Saulo, V. Leiva, F. A. Ziegelmann and C. Marchant. (2013). "A nonparametric method for estimating asymmetric densities based on skewed Birnbaum-Saunders distributions applied to environmental data". Stochastic and Environmental Research and Risk Assessment, 27(6), 1479-1491. doi: https://doi.org/10.1007/s00477-012-0684-8.

C. Marchant, K. Bertine, V. Leiva and H. Sulo. (2013). "Generalized Birnbaum-Saunders kernel density estimators and an analysis of finantial data". Computational Statistics and Data Analysis, 63, 1-15. doi: https://doi.org/10.1016/j.csda.2013.01.013.

R. Fierro, V. Leiva, F. Ruggeri and A. Sanhueza. (2013). "On a Birnbaum-Saunders distribution arasing from non-homogeneous Poisson process". Statistics and Probability Letters, 83(4), 1233-1339. doi: https://doi.org/10.1016/j.spl.2012.12.018.

D. M. Kelmansky, E. J. Martinez and V. Leiva. (2013). "A new stabilizing transformation for gene expression data analysis". Statistical Application in Genetics and Molecular Biology, 12(6), 653-666. doi: https://doi.org/10.1515/sagmb-2012-0030.

Contreras-Reyes, J.E., Palma, W. (2013). Statistical analysis of autoregressive fractionally integrated moving average models in R. Computational Statistics 28(5), 2309–2331. DOI: https://doi.org/10.1007/s00180-013-0408-7

Contreras-Reyes, J.E. (2013). Nonparametric Assessment of Aftershock Clusters of the Maule Earthquake
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Contreras-Reyes, J.E., Arellano-Valle, R.B. (2012). Kullback–Leibler divergence measure for multivariate skew-normal distributions. Entropy 14(9), 1606–1626. DOI: https://doi.org/10.3390/e14091606

C. Meza, F. Osorio and R. de la Cruz. (2012). "Estimation in nonlinear mixed-effects models using heavy-tailed distributions". Statistics and Computing, 22(1), 121-139. doi: https://doi.org/10.1007/s11222-010-9212-1.

V. Leiva, M. G. Ponce, C. Marchant and O. Bustos. (2012). "Fatigue statistical distributions useful for modeling diameter and mortality trees". Revista Colombiana de Estadística, 35(3), 349-370.

C. Azevedo, V. Leiva, E. Athayde and N. Balakrishnan. (2012). "Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation". Computional Statistics and Data Analysis, 56(12), 3887-3897. doi: https://doi.org/10.1016/j.csda.2012.05.007.

M. Catalan, M. P. Galindo, J. Martin and V. Leiva. (2012). "Integration methods of odds ratio based on meta-analysis using fixed and random effects models". Revista Colombiana de Estadística, 35(2), 205-222.

M. Ferreira, M. I. Gomes and V. Leiva. (2012). "On a extreme value version of the Birnbaum-Saunders distribution". REVSTAT – Statistical Journal, 10(2), 181 +.

F. J. Caro-Lopera, V. Leiva and N. Balakrishnan. (2012). "Connections between the Hadamard and matrix products with an application to matrix-variate Birnbaum-Saunders distributions". Journal of Multivariate Analysis, 104(1), 126-139. doi: https://doi.org/10.1016/j.jmva.2011.07.004.

E. Athayde, C. Azevedo, V. Leiva and A. Sanhueza. (2012). "About Birnbaum-Saunders distribution based on the Johnson system". Communications in Statistcs-Theory and Methods, 41(11), 2061-2079. doi: https://doi.org/10.1080/03610926.2010.551454.

M. Santos-Neto, F. Cysneiros, V. Leiva and S. E. Ahmed. (2012). "On new parametrizations of the Birnbaum-Saunders distribution". Pakistan Journal of Statistics, 28(1), 1-26.

G. A. Paula, V. Leiva, M. Barros and S. Z. Liu. (2012). "Robust statistical modeling using the Birnbaum-Saunders-t distribution applied to insurance". Applied Stochastic Models in Bussiness and Industry, 28(1), 16-34. doi: https://doi.org/10.1002/asmb.887.