Claudia Czado

Claudia Czado is a professor at the Technical University of Munich, Department of Mathematics. Her research focuses on modeling dependencies, vine copulas and distributions, Bayesian inference, generalized linear models with time and space components, overdispersion models, non-Gaussian belief networks, and risk management in insurance, finance, and medicine. She is affiliated with the university's mathematics department and holds the title of Prof. Ph.D. Her work includes developing methods for statistical analysis and data science, with applications in various fields. Her research interests are detailed on her profile page, and she maintains contact through her email and website.

Claudia Czado is an Associate Professor specializing in applied mathematical statistics, with a focus on GLM, copula, vines, and MCMC methodologies. Her research explores the construction and application of copula models, particularly in financial and insurance contexts, to analyze complex dependencies. She has contributed significantly to the development of pair-copula constructions, regular vine copulae, and their use in risk management and predictive modeling. Her work includes Bayesian inference for multivariate copulas, quantile regression with D-vines, and modeling longitudinal and spatial data. Czado's research emphasizes statistical modeling for high-dimensional data, with applications in finance, insurance, and actuarial science.