معرفی
Eduard Belitser is an Associate Professor in the Department of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam. His research focuses on Bayesian statistics, uncertainty quantification, and statistical theory, contributing to the UN Sustainable Development Goals. He currently teaches courses such as Experimental Design and Data Analysis, Statistical Models, and Statistics for AI. Belitser is actively involved in academic collaborations and has presented his work at international conferences and institutions.
Belitser’s research interests include Bayesian methods, robust estimation, and applications to change point analysis, inverse problems, and variable selection. He explores topics like empirical Bayes procedures, optimality in estimation, and uncertainty quantification, with a focus on mathematical foundations and practical implications in statistical modeling and data analysis.
Belitser's recent publications (2022–2025) emphasize Bayesian uncertainty quantification in change point detection, inverse problems, and robust statistical estimation. His work highlights methodological advancements, such as empirical Bayes approaches for sparse quantiles and optimality principles in variable selection and multiple testing frameworks, reflecting a blend of theoretical rigor and applied data analysis.
No scientific awards or honors are explicitly mentioned in the provided information. In advising, he has supervised 3 PhD theses, though student names are not listed. His professional activities include editorial roles (Statistica Neerlandica), visiting research at North Carolina State University (March–April 2024), and organizing the 34th European Meeting of Statisticians (July 2023). He has also delivered invited lectures on Bayesian UQ and change-point models in 2023 and 2024.
