Aleksey Min

Prof. Dr. habil. Alexander Min is a professor at the Department of Mathematics and Computer Science, specializing in financial mathematics and statistics. He holds a doctorate in mathematics and has made significant contributions to the fields of financial econometrics, time series analysis, and copula modeling. His research focuses on the application of statistical methods to financial data, including the analysis of credit spreads, risk modeling, and the development of advanced econometric techniques. Prof. Min has published extensively in top-tier journals and has supervised numerous master's and bachelor's theses, contributing to the education and research of future financial analysts and mathematicians.

Aleksey Min is a researcher at the Technical University of Munich, specializing in statistical modeling and financial econometrics. His work focuses on advanced copula-based methods for modeling complex dependencies in financial and economic data. He has developed and applied vine copula models to analyze exchange rates, market turbulence, and insurance claims. His research also includes Bayesian inference, maximum likelihood estimation, and zero-inflated generalized Poisson models for count data. Min's contributions span statistical software development, such as the VineCopula package, and applications in sustainable finance and time series analysis. His studies often integrate multivariate dependence structures with dynamic modeling techniques.