معرفی
Hannes Leeb is a full-time Professor at the University of Vienna, leading the Department of Statistics and Operations Research within the Faculty of Business, Economics, and Statistics. He is also affiliated with the Research Network Data Science and co-organizes the ISOR Colloquium.
- Research Interests: Inference Post Model Selection, Shrinkage-Type Estimators, High-Dimensional Data Analysis, Machine Learning, Random Matrices, Asymptotic Statistics, Linear/Non-Linear Time Series.
Recent Research Trends: His 15 most recent articles focus on valid statistical inference in high-dimensional settings, including F-statistics, conformal prediction, and adaptive methods for deep learning. Key subfields include post-model selection uncertainty, conditional coverage, and shrinkage estimator properties.
Teaching & Leadership: He teaches core courses like 'Basic Principles of Statistics' and 'Probability Theory', and supervises PhD research privatissimum in econometrics/statistics. As department head, he emphasizes data science integration and methodological rigor.
