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PUBLICACIONES

2017 | 2016 | 2015 | 2014 | 2013 | 2012

2017

M. Stehlik,  J. Somorcik ,  L. Strelec, J. Antoch, (2017) Approximation of information divergences for statistical learning with applications,  Mathematica Slovaca.

 

Stehlik M., Hermann P., Torres S., Kiselak J. On dynamics underlying variance of mass balance estimation in Chilean glaciers, in: Ecological Complexity, 2017.

 

Mozos,I., Maidana,J. P., Stehlík, M. and Stoian,D. Gender differences of arterial stiffness and arterial age in smokers, International Journal of Environmental Research and Public Health,(2017) 14, 565; doi:10.3390/ijerph14060565

 

Stehlík, M. Discussion on Gelman, A. and Hennig, Ch. "Beyond subjective and objective in statistics", J. R. Statist. Soc. A (2017) 180, Part 4, pp. 1–31

 

Francis, A., Stehlík, M. and Wynn, H. (2017) "Building" Exact Confidence Nets" Bernoulli 23, No. 4B, 3145-3165.

 

Stehlík, M. and Strelec, L. Discussion on Cannings, T.I. and Samworth R. J. (2017). Random-projection ensemble classification, J. R. Statist. Soc. B (2017) 79, Part 4, pp. 1–38

 

M. Stehlík (2016), Recognition of Ecosystem Morphisms for the Sustainable and Reliable systems, Proc. of ICDQM 2016, 72-77.

 

Strelec, L. and Stehlík, M. (2017)    Robust Testing for Normality of Error Terms with Presence of Autocorrelation and Conditional Heteroscedasticity, AIP Conference Proceedings 1798, 020155 ; doi: http://dx.doi.org/10.1063/1.49727471

 

Stehlík, M., Hermann,P., Giebel,S. and Schenk, JP, (2017) On mixed cancer risk assessment, In "Recent Studies on Risk Analysis and Statistical Modeling", Contributions to Statistics, SPRINGER, Eds. Oliveira, Kitsos, Amilcar

 

Stehlik, M.; Helpersdorfer Ch., Hermann,P. Supina,J. Grilo, L. M., Maidana; J.P., Fuders, F. Stehlikova, S. Financial and risk modelling with semicontinuous covariances, Information Sciences, DOI 10.1016/j.ins.2017.02.002

 

2016

Richter,W.-D., Strelec, L., Ahmadinezhad, H. and Stehlik, M. Geometric aspects of robust testing for normality and sphericity,Revista: Stochastic Analysis and Applications Doi 10.1080/07362994.2016.1273785

 

Stehlik, M., Aguirre, P., Girard, S., Jordanova, P., Kiselak, J., S.Torres Leiva, Sadovsky, Z., Rivera,A. On ecosystems dynamics,  Ecological Complexity, DOI information: 10.1016/j.ecocom.2016.11.002.

 

Stehlík, M., Kiselak, J. Potocky,R. Jordanova, P. Generalized Interest Rate Dynamics and its impacts on finance and pensions, Stochastic Analysis and Applications, Doi 10.1080/07362994.2016.1224975

 

Stehlík, M., Discussion on ”A Bayesian information criterion for singular models”, J. R. Statist. Soc. B (2017) 79, Part 2, pp. 138

 

Nicolis, O., Kiselak, J. Porro, F. and Stehlík, M. Multi-fractal cancer risk assessment, Stochastic Analysis and Applications, DOI: 10.1080/07362994.2016.1238766

 

Stehlík and Kiselak, On stochastic representation of blow-ups for distributed parameter systems, Lecture Notes in Computer Science, Springer

 

Pavlina Jordanova, Monika P. Petkova, and Milan Stehlik, Compound Log-series Distribution with Negative Multinomial Summands, Lecture Notes in Computer Science, Springer

 

Jordanova, P. Nefedova, Y. and Stehlík, M. ”On risk process with Pareto mixing” Applied Mathematical Modelling. Doi 10.1016/j.apm.2016.08.028

 

Stehlík, M., Maidena, J.P. discussion of the paper: Should we sample a time series more frequently? Decision support via multirate spectrum estimation J. R. Statist. Soc. A (2017) 180, Part 2, pp. 130

 

P. Jordanova, Z. Fabián, P. Hermann, L. Strélec, A. Rivera, S. Girard, S.Torres M. Stehlík, (2016) ”Weak properties and robustness of t-Hill estimators” Extremes, (2016) 19:591626

 

Stehlík, M. and Stehlíková, S. (2016) Discussion on ”Causal inference by using invariant prediction: identification and confidence intervals”, J. R. Statist. Soc. B (2016) 78, Part 4, pp. 11742

 

Kiselak, J., Hermann, P., Stehlík, M. (2016) Negative interest rates: why and how? Math.Slovaca

 

Stehlík, M. and Strélec, L. (2017) Discussion on ”New statistics for old?measuring the wellbeing of the UK”, J. R. Statist. Soc. A. 180, Part 1, pp. 1-22

 

Francis, A., M. Stehlík, H. Wynn, (2016) ”Building” Exact Confidence Nets” Bernoulli.

 

Stehlík M., Hermann, P., and Nicolis, O.(2016) Fractal based cancer modelling, Revstat, 14, 2, 139-155

 

Jordanova and M. Stehlík, ”Mixed Poisson process with Pareto mixing variable and its risk applications” Lithuanian Mathematical Journal, 56, 2, 189–206.

 

Milan Stehlík, (2016) Discussion on ”Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings”, Journal of the Royal Statistical Society: Series B, 78, Part 3

 

M. Stehlík, J.Dusek, J.Kiselak, Missing chaos in global climate change data interpreting? Ecological Complexity, 25 (2016) 531-759 DOI 10.1016/j.ecocom.2015.12.003

 

J. Paseka, S. A. Solovyov, M. Stehlík (2016), On a topological universe of L-bornological spaces, Soft Computing Soft Comput 20:2503-2512

 

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

 

R. Potocký, C. N. Villarroel, M. Sepúlveda, G. Luna and M. Stehlik, Random elements on lattices: review and statistical applications, AIP Proc Icnaam 2016

 

P.K. Jordanova, Z. Sadovsky, M. Stehlik, Modelling of snow exceedances, AIP Proceedings, Icnaam 2016

 

Stehlík, M., Stehlíková,S. and Torres,S. (2016) Understanding water extremes with caution, Proceedings of AIP (American Inst. of Physics), 1738, 040006

 

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

 

Alegria A.,Bevilacqua, M.,Porcu, E. (2016) Likelihood-based inference for multivariate space-time wrapped-Gaussian fields. Journal of Statistical Computation and Simulation. DOI: 10.1080/00949655.2016.1162309.

 

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

 

Nicolis, O., Kiselak, Porro, F., Stehlík, M., (2016). Multi-fractal cancer risk assessment. Accepted in Stochastic Analysis and Applications. 
DOI: 10.1080/07362994.2016.1238766.

 

Stehlík, M., Hermann, P., Nicolis, O. (2016). Fractal based cancer modelling. REVSTAT -Statistical Journal 14 (2), 139-155. 
 DOI: 10.1002/sim.6497

 

2015

M. Stehlík, P. Hermann (2015), ”Letter to the Editor” Annals of Applied Statistics, Vol. 9, No. 4, page 2051 DOI: 10.1214/15-AOAS864

 

S. Baran, Sikolya, M. Stehlík (2015), Optimal Designs For The Methane Flux In Troposphere, Chemometrics and Intelligent Laboratory Systems. Volume 146, 407-417

 

Hermann, P.; Mrkvicka, T.; Mattfeldt, T., Minarova, M.; Helisova, K.; Nicolis, O.; Wartner, F.; Stehlík M. (2015), Fractal and stochastic geometry inference for breast cancer: a case study with random fractal models and Quermass-interaction process” Statistics in Medicine,34, 2636-2661

 

Stehlík, M., Potocký y, R., Kiselak, J., Jordanova, P. (2015) ”On generalized interest rate dynamics”, Appl.Math. Inf. Sci. 04/2015; 9(2L):325-338

 

Baran, S. and Stehlík, M. (2015) ”Optimal designs for parameters of shifted Ornstein-Uhlenbeck sheets measured on monotonic sets”, Statistics and Probability Letters, 99, 114-124

 

Sabolova R., Seckarova V., Dusek,J. and Stehlík, M. (2015) ”Entropy based statistical inference for methane emissions released from wetland” Chemometrics and Intelligent Laboratory Systems, 141, 125-133

 

Paseka, J., Solovyov, S. A. and Stehlík, M. (2015) ”Lattice-valued bornological systems”, Fuzzy Sets and Systems, 259, 15, 68-88

 

Balakrishnan, N. and Stehlík, M. (2015) ”Likelihood testing with censored and missing duration data” Journal of Statistical Theory and Practice, 9(1), 2-22.

 

Stehlík, M., M. Sadovský, Z. and Jordanova, P. (2015) ”Statistical analysis related to exceptional snow loads”, Appl.Math. Inf. Sci., 9, No. 1L, 19-27.

 

Stehlík, M., López-Fidalgo,J., Casero-Alonso, V. and Bukina, E. (2015) ”Robust integral compounding criteria between trend and correlation structures”, Stochastic Environmental Research and Risk Assessment, 29 (2), 379-395

 

Economou P. and Stehlík M. (2015), ”On small samples testing for frailty through homogeneity test”, Communications in Statistics - Simulation and Computation, 44, 1, 40-65

 

Stehlík,M., Giebel, S. M., Prostakova,J. Schenk J.P. (2014), Statistical inference on fractals for cancer risk assessment” Pakistan Journal of Statistic, Vol. 30(4), 439-454.

 

Hermann,P. and Stehlík, M., (2015), On some issues on statistical analysis for Wilms tumor, Proc. 30th International Workshop on Statistical Modelling, Linz, Austria, July 6-10, 2015.

 

P. Jordanova, Y. Nefedova and M. Stehlík, (2015) On risk process with Pareto mixing, Proc. Icra6, 439-447

 

Hermann, P., Giebel, S.M., Schenk, J.-P., and Stehlík, M. (2015). Dynamic Shape Analysis before and after chemotherapy. Proc. International Conference on Risk Analysis (ICRA6), 339-346.

 

Stehlík, M. and Hermann,P. (2015). Fractal based cancer modelling, Proc. International Conference on Risk Analysis (ICRA6). 741-748

 

M. Stehlík, P. Hermann, Optimal design for parameters of stochastic processes, Springer Volume SMTDA Conference Proceedings, C. H. Skiadas (Ed)

 

J. Kiseˇl ́ak, J. Duˇsek, M. Stehlík, Iterated function system generation of chaos with applications in ecology, Springer Volume SMTDA Conference Proceedings, C. H. Skiadas (Ed)

 

Giebel,S., Hermann,P., Schenk,J.-P., Stehlík,M. (2015) On analytical methods for cancer research, In Kitsos, C., Oliveira, T., Rigas, A. and Gulati, S. (eds.), Theory and Practice of Risk Assessment, Springer Proceedings in Mathematics and Statistics, 06/2015: pages 37–44.

 

Hermann,P., Piza,S., Ruderstorfer, S., Spreitzer-Gr ̈obner,S. and Stehlík, M., (2015), Fractal Case Study for Mammary Cancer: Analysis of Interobserver Variability, In Kitsos, C., Oliveira, T., Rigas, A. and Gulati, S. (eds.), Theory and Practice of Risk Assessment, Springer Proceedings in Mathematics and Statistics, Volume 136, 21-35.

 

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

 

Porcu, E.,Bevilacqua, M. and Genton M. (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.

 

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

 

Padoan, S., Bevilacqua, M. (2015). Analysis of Random Fields Using CompRandFld. Journal of the Statistical Software, 63(9) 1-27. DOI: 10.18637/jss.v063.i09

 

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

 

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

 

Daley J. D., Porcu E., Bevilacqua M. (2015) Classes of compactly supported covariance functions for multivariate random fields. Stochastic Environmental Research and Risk Assessment. 29(4), 1249-1263.

 

Nicolis, O., Mateu, J. (2015). 2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile. Entropy, 17(6), 4155–4172; doi:10.3390e17064155.

Nicolis, O., Mateu, J. (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, 315–319. DOI: 10.1007/s10260-015-0311-1.


 

Hermann, P., Mrkvicka, T., Mattfeldt, T., Minrov, M., Helisov, K., Nicolis, O. Wartner, F., Stehlk, M. (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: 10.1002sim.6497. 


 

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

 

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

 

Deniz, E. and Nicolis, O. (2015) Genetic Algorithm in the Wavelet Domain for Large p Small n Regression. Communications in Statistics - Theory and Methods. Vo. 44(5) 1144-1157. 
 DOI: 10.1109/TIP.2014.2362058.

 

Jordi Ocaña, Maria Pilar Sánchez, Josep Lluís Carrasco, Carryover negligibility and relevance in bioequivalence studies. Pharmaceutical Statistics, 2015, Sep-Oct, 14(5):400-8. doi: 10.1002/pst.1699. Epub 2015 Jul 14.

 

Joan Duran, Pilar Sánchez Olavarría, Marina Mola, Víctor Götzens, Julio Carballo, Eva Martín Pelegrina, Màrius Petit, Omar Abdul-Jawad, Imanol Otaegui, Bruno García del Blanco, David García-Dorado, Josep Reig, Alex Cordero and Josep Maria de Anta. 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 neovascularisation. BMC Cardiovascular Disorders. 2015, 15:3. doi:10.1186/s12872-015-0027-z..

 

2014

Paseka, J., Solovyov,S. A. and Stehlík, M. (2014) ”On the category of lattice-valued bornological vector spaces”, Journal of Mathematical Analysis and Applications, 419, 138-155.

 

Stehlík, M., Economou, P., Kisel ́ak, J. and Richter, W.-D. (2014) ”Kullback-Leibler life time testing”, Applied Mathematics and Computation, 240 12217139

 

Potocký, R., Stehlík, M. and Waldl, H. (2014) ”On Sums Of Claims And Their Applications In Analysis Of Pension Funds And Insurance Products”, Prague Economic Papers., 3, 349-370.

 

Boukouvalas, A., Cornford,D. and Stehlík, M. (2014) ”Optimal Design for Correlated processes with input-dependent noise”, Computational Statistics and Data Analysis, 71, 1088-1102

 

Beran, J., Schell, D. and Stehlík, M. (2014), ”The Harmonic Moment Tail Index Estimator: asymptotic distribution and robustness”, Annals of the Institute of Statistical Mathematics, 66(1); 193-220.

 

Stehlík, M. Thulin, M., Strélec, L. (2014) ”On robust testing for normality in chemometrics”, Chemometrics and Intelligent Laboratory Systems, 130 98-108

 

Vidmar, G., Blagus, R., Strelec,L. and Stehlík, M. (2014) ”Erratum: Business indicators of healthcare quality: Outlier detection in small samples” (ASMBI (2012) 28:3 (282-295)), Applied Stochastic Models in Business and Industry, Vol 30, Issue 3, 2014, Page 372

 

Hermann,P., Piza,S., Ruderstorfer, S., Spreitzer-Gr ̈obner,S. and Stehlík, M., (2014), Fractal Case Study for Mammary Cancer, Biometrie und Medizinische Informatik - Greifswalder Seminarberichte,Teresa Oliveira, Karl-Ernst Biebler, Amlcar Oliveira, Bernd J ̈ager (Ed.) 2014; 23 : 149-166.

 

Gomes, I.M. and Stehlík, M., (2014), The latest advances on the Hill estimator and its modifications, Topics in NonParametric Statistics, M.G. Akritas et al. (eds.), Topics in Nonparametric Statistics, Springer Proceedings in Mathematics & Statistics 74, p. 327-337, Springer Science+Business Media New York 2014 http://www.springer.com/statistics/statistical+theory+and+methods/ 1-4939-0568-3

 

Guillot, G. Schilling, R. Porcu, E. and Bevilacqua, M. (2014). Valid covariance models for the analysis of geographical genetic variation. Methods in Ecology and Evolution, 5(4) 329-335

 

Bevilacqua, M., Crudu, F., E. Porcu (2014) Discussion to the paper: Multiscale change point inference, by Frick, K., Munk, A. & Siedivng, H. Journal of the Royal Statistical Society B, 76(2).

 

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

 

Rocío Santander, Alejandro Urzúa, Ángel Olguín and María Sánchez. Temporal Variation of Aristolochia chilensis Aristolochic Acids during Spring. Molecules, 2015, 20, 20391–20396; doi:10.3390/molecules201119704. Published: 13 November 2015.

 

Duran J, Sánchez-Olavarría P, Mola M, Götzens V, Carballo J, Martín-Pelegrina E, Petit M, García Del Blanco B, García-Dorado D, de Anta JM. The PLAU P141L single nucleotide polymorphism is associated with collateral circulation in patients with coronary artery disease. Rev Esp Cardiol (Engl Ed). 2014 Jul;67(7):552-7. doi:10.1016/j.rec.2013.11.022. Epub 2014 Apr 4.

 

2013

Jordanova,P., Dusek,J., Stehlík,M. (2013) ”Microergodicity effects on ebullition of methane modelled by Mixed Poisson process with Pareto mixing variable,” Chemometrics and Intelligent Laboratory Systems, 128 124-134

 

Baran,S., Sikolya, K. and Stehlík, M. (2013), ”On the optimal designs for prediction of Ornstein-Uhlenbeck sheets” Statistics and Probability Letters, Vol. 83 (6), 1580-1587

 

Jordanova,P., Duˇsek,J., Stehlík, M. (2013), ”Modeling methane emission by the infinite moving average process”, Chemometrics and ILS, 122, 40-49

 

Stehlík M. (2013), Discussion for Paper ”How to find an appropriate clustering for mixed type variables with application to socio-economic stratification” by Ch. Hennig and T. F. Liao, Journal of the Royal Statistical Society - Series C, 62 (3), 357-358

 

Kiselak, J., Pardasani,K. R., Adlakha, N., Agrawal, M. and Stehlík, M. (2013), ”On some probabilistic aspects of diffusion models for tissue growth”, The Open Statistics and Probability Journal,5, 14-21

 

Jordanova, P. Stehlík, M., Fabian Z. and Strélec L. (2013), ”On estimation and testing for Pareto tails”, PLISKA - Studia Mathematica Bulgarica, 22, 89-108.

 

Stehlík, M., Wartner F., Minarova M. (2013), ”Fractal analysis for cancer research: case study and simulation of fractals”, PLISKA - Studia Mathematica Bulgarica, 22, 195-206.

 

Moder, K.; Strelec, L.; Stehlík, M., (2013), Selected issues on robust testing for normality, AIP Conference Proceedings, Volume: 1558, Pages: 724-7

 

Markovich,N. M. and Stehlík,M. (2013) On relationship between score functions and extremal index, invited paper, 2013 IFAC Proceedings Conference on Manufacturing Modelling, Management, and Control, Springer, 933-938

 

Porcu, E., Daley, D.J., Buhmann, M. and Bevilacqua, M. (2013). Radial basis functions for multivariate geostatistics. Stochastic Environmental Research Risk Assessment ,27(4), 909-922.

 

2012

Rodríguez-Díaz J. M., Santos-Martín T., Waldl H. and Stehlík M. (2012), ”Filling and D-optimal designs for the correlated Generalized Exponential models”, Chemometrics and Intelligent Laboratory Systems, 114: 10-18

 

Vidmar G., Blagus R., Strélec L. and Stehlík M., 2012: ”Business indicators of healthcare quality: outlier detection in small samples”, Applied Stochastic Models in Business and Industry, 28, 282-295

 

Stehlík M., Fabián Z. and Strélec L. (2012), ”Small sample robust testing for Normality against Pareto tails”, Communications in Statistics - Simulation and Computation, 41:7, 1167-1194

 

Stehlík M. and Strélec L. (2012) Invited Discussion on the paper ”Optimum design of experiments for statistical inference” by Steven G. Gilmour and Luzia A. Trinca, Journal of the Royal Statistical Society - Series C 61 (3), 392-393

 

Strélec L. and Stehlík M. (2012), ”Comparative simulation study of likelihood ratio tests for homogeneity of the exponential distribution”, Acta univ. agric. et silvic. Mendel. Brun., Vol. 33, Number 7,307-314

 

Stehlík M., Kiselak J. and Ososkov G.A.(2012), ”I-divergence based testing with applications to reliability and physics”, Special Issue ”Theory and Applications of Divergence and Information Measures and Related Topics” of journal Mathematics in Engineering, Aerospace and Sciences, Vol. 3, No. 4, 417-432

 

Stehlík M., Mrkvicka T., Filus J. and Filus L. (2012), ”Recent development on testing in cancer risk: a fractal and stochastic geometry”, invited paper for Journal of Reliability and Statistical Studies, Vol. 5, 83-95

 

Stehlík, M. (2012), Decompositions of information divergences: Recent development, open problems and applications, AIP Conf. Proc., 1493 (2012), 972-976, doi: 10.1063/1.4765604

 

Stehlík, M. (2012), Preface for the ”Symposium on statistics and modeling III”, NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012, ISBN: 978-0-7354-1091-6, Vol:1479, Editor(s): Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi,412-414

 

Stehlík,M. Pant,B. Pant,K. and Pardasani, K. R.(2012), Issues on machine learning for prediction of classes among molecular sequences of plants and animals, NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012, ISBN: 978-0-7354-1091-6, Vol:1479, Editor(s): Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi,446-449

 

Strélec L. and Stehlík M. (2012) On simulation of exact tests in Rayleigh and normal families, NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012, ISBN: 978-0-7354-1091-6, Vol:1479, Editor(s): Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi,449-453

 

Bevilacqua, M., Gaetan, C., Mateu, J. and Porcu, E. (2012) Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach. Journal of the American Statistical Association ,107(497), 268-280.

 

Cressie, N., Assuncao, R., Holan, S., Levine, M., Nicolis, O., Zhang, J. and Zou, J. (2012). Dynamical Random-Set Modeling of Concentrated Precipitation in North America. Statistics and Its Interface, 5 (2), 169–182. ISSN: 1938-7989 (print); 1938-7997 (online) . DOI: http://dx.doi.org/10.4310/SII.

 

Bagnato, L., Punzo, A., Nicolis, O. (2012). The autodependogram: a graphical device to investigate serial dependences. Journal of Time Series Analysis, 33 (2), 233–254. ISSN: 1467- 9892. 
 DOI: 10.1111/j.1467-9892.2011.

 

Joan Duran, Víctor Götzens, Julio Carballo, Eva Martín; Màrius Petit, Àlex Cordero, María Pilar Sánchez Olavarría, Josep Reig, Josep Maria de Anta. THE HIF1A C85T single nucleotide polymorphism influences the number of branches of the human coronary tree”. Cardiology, 121(3):156–159. 2012

 

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