معرفی
Assoc. Prof. Marek Omelka is a faculty member at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague. His research focuses on copula models, dependence modeling, and nonparametric statistical methods with applications in multivariate analysis, permutation tests, and conditional copula structures.
- Current teaching: NMST424 Mathematical Statistics 3 and JEM019 Statistical Methods for Data Analysis
- Research interests: Asymptotic statistics, copula estimation, permutation methods, multivariate association, and functional data depth
His recent publications analyze copula parameter estimation, covariate effects in conditional models, and multivariate tail coefficients, with implementations in R. The PMSE program he guarantees connects theoretical statistics with real-world applications in data science, finance, and medical studies.
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