Research

Professors

Prof. Dr. Fadoua Balabdaoui

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Empirical Processes, Gaussian Processes, Index Models, Nonparametric Estimation, Shape constrainted Estimation

Prof. Dr. Peter Bühlmann

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Causal Inference, Computational Statistics, Machine Learning, Graphical Models, High-dimensional Statistics and Sparsity, Applications in biology, chemistry and medicine

Prof. Dr. Yuansi Chen

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Computational Statistics, Statistical Machine Learning, MCMC Sampling, Domain Adaptation

Prof. Dr. Nicolai Meinshausen

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Computational Statistics, Causality, High-dimensional Data, Machine Learning

Prof. Dr. Jonas Peters

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Causal Inference, Computational Statistics, Applications

Prof. Dr. Johanna Ziegel

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Distributional Regression, Positive Definite Functions, Sequential Inference, Statistical Forecasting

Prof. em. Dr. Martin Mächler

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Statistical Computing, R project, Sparse Matrices, Robustness, Clustering, Curve Estimation, Numerical Accuracy

Prof. Dr. Sara van de Geer 

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Empirical Processes, Entropy, High-dimensional Models, L1-regularization, Probability Inequalities, Sparsity, Statistical Learning

Prof. em. Dr. Hans Rudolf Künsch

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Spatial and Time Series Models, Bayesian Analysis, Monte Carlo Methods, Applications in environmental modeling

Prof. em. Dr. Werner Stahel

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Robust Statistics, Models for Censored Data, Data Analysis, Strategies and Topics in Regression, R Software for Regression, Chemical Mass Balance and Linear Unmixing, Applications of the lognormal distribution, Applied Statistics

Senior Scientists

Dr. Markus Kalisch

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Causal inference, Graphical Models, Applied Statistics

Dr. Lukas Meier

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High-dimensional Statistics and Sparsity, Applied Statistics

Dr. Fabio Sigrist

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Mixed Effects Machine Learning, Spatial and Spatio-Temporal Statistics, Boosting, Gaussian processes, Applications in Environmental Sciences and Finance