Mathias Drton

Mathias Drton is a professor at the Technical University of Munich, Department of Mathematics. His research focuses on graphical models, algebraic statistics, model selection, causal inference, and multivariate data analysis. Drton's work includes contributions to statistical methods for causal discovery and structural equation models. He is affiliated with the Chair of Mathematical Statistics at TUM and can be contacted via email at mathias.drton@tum.de.

Mathias Drton is a Professor of Mathematical Statistics at the Technical University of Munich, specializing in graphical models and algebraic statistics. His research focuses on the intersection of statistics and algebra, with an emphasis on developing methods for structure learning, model selection, and inference in high-dimensional data. Drton's work includes Bayesian information criteria for Gaussian graphical models, likelihood ratio tests, and the application of algebraic techniques to causal discovery and gene network inference. His publications explore topics such as nonparanormal graphical models, robust modeling, and distribution-free tests, contributing significantly to the theoretical and applied aspects of statistical modeling.