Regular biography
Prof. Ph.D. Mathias Drton is affiliated with the Technical University of Munich, where he is part of the Computer Science / Electrical Engineering department. His research interests are not explicitly detailed in the provided information. Drton's profile page can be accessed through the specified website link. No additional details regarding his title, email, or specific research areas are available.
Scholar-generated biography
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 robust methods for graphical modeling, such as using t-distributions and nonparanormal models, as well as theoretical aspects like identifiability and independence tests.