Courses
Autumn semester 2024
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Biostatistics (Dr. Matteo Tanadini)
- Applied Statistical Regression (Dr. M. Dettling)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. J. Ziegel)
- Mathematik IV: Statistik (Prof. N. Meinshausen)
- Smoothing and Nonparametric Regression with Examples (Dr. S. Beran-Ghosh)
- Statistical and Numerical Methods for Chemical Engineers (Dr. P. Müller)
- Statistical Modelling (Dr. M. Kalisch)
- Statistik II (D-BIOL, D-HEST) (Dr. J. Dambon)
- Statistik II (Humanmedizin) (Dr. B. Ineichen)
- Stochastic Simulation (Dr. F. Sigrist)
- Student Seminar in Statistics: MCMC Sampling Algorithms in Bayesian Computation (Prof. Y. Chen)
- Using R for Data Analysis and Graphics (Part I) (Prof. M. Mächler)
- Using R for Data Analysis and Graphics (Part II) (Prof. M. Mächler)
Spring semester 2024
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Computational Statistics (Prof. J. Peters)
- Student Seminar in Statistics: E-Values and Anytime-Valid Inference (Prof. Dr. Johanna Ziegel)
- Statistics Lab (Dr. M. Kalisch, Prof. M. Mächler, Dr. L. Meier, Dr. Fabio Sigrist)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (D-BAUG, Prof. Dr. P. Bühlmann)
Autumn semester 2023
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Biostatistics (Dr. Matteo Tanadini)
- Applied Statistical Regression (Dr. M. Dettling)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. S. van de Geer)
- High-Dimensional Statistics (Prof. P. Bühlmann)
- Mathematik IV: Statistik (Prof. N. Meinshausen)
- Smoothing and Nonparametric Regression with Examples (Dr. S. Beran-Ghosh)
- Statistical and Numerical Methods for Chemical Engineers (Dr. P. Müller)
- Statistical Modelling (Dr. M. Kalisch)
- Statistik II (D-BIOL, D-HEST) (Dr. J. Dambon)
- Statistik II (Humanmedizin) (Dr. D. Stekhoven)
- Bayesian Statistics (Dr. F. Sigrist)
- Student Seminar in Statistics: Inference in Some Non-Standard Regression Problems (Prof. F. Balabdaoui)
- Using R for Data Analysis and Graphics (Part I) (Prof. M. Mächler)
- Using R for Data Analysis and Graphics (Part II) (Prof. M. Mächler)
Spring semester 2023
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Computational Statistics (Prof. M. Mächler)
- Student Seminar in Statistics: Causality (Prof. P. Bühlmann, Prof. N. Meinshausen)
- Statistics Lab (Dr. M. Kalisch, Prof. M. Mächler, Dr. L. Meier, Prof. N. Meinshausen, Prof. em. Stahel)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (Dr. L. Meier)
Autumn semester 2022
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Biostatistics (Dr. Matteo Tanadini)
- Applied Statistical Regression (Dr. M. Dettling)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. S. van de Geer)
- Mathematik IV: Statistik (Dr. J. Ernest)
- Smoothing and Nonparametric Regression with Examples (Dr. S. Beran-Ghosh)
- Statistical and Numerical Methods for Chemical Engineers (Dr. P. Müller)
- Statistical Modelling (Prof. P. Bühlmann)
- Statistik II (D-BIOL, D-HEST) (Dr. J. Dambon)
- Statistik II (Humanmedizin) (Dr. D. Stekhoven)
- Stochastic Simulation (Dr. F. Sigrist)
- Student Seminar in Statistics: Inference in Some Non-Standard Regression Problems (Prof. F. Balabdaoui)
- Time Series Analysis (Prof. N. Meinshausen)
- Using R for Data Analysis and Graphics (Part I) (Prof. M. Mächler)
- Using R for Data Analysis and Graphics (Part II) (Prof. M. Mächler)
Spring semester 2022
- Advanced Statistical Modelling: Mixed Models (Prof. M. Mächler)
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Computational Statistics (Prof. N. Meinshausen)
- Empirical Process Theory and Applications (Prof. S. van de Geer)
- Programming with R for Reproducible Research (Prof. M. Mächler)
- Student Seminar in Statistics: Causality (Prof. P. Bühlmann, Dr. M. Champion)
- Statistics Lab (Dr. M. Kalisch, Prof. M. Mächler, Dr. L. Meier, Prof. N. Meinshausen, Prof. em. Stahel)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (Dr. L. Meier)
Autumn semester 2021
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Biostatistics (Dr. Matteo Tanadini)
- Applied Statistical Regression (Dr. M. Dettling)
- Bayesian Statistics (Dr. F. Sigrist)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. S. van de Geer)
- High-Dimensional Statistics (Prof. P. Bühlmann)
- Mathematik IV: Statistik (Dr. J. Ernest)
- Smoothing and Nonparametric Regression with Examples (Dr. S. Beran-Ghosh)
- Statistical and Numerical Methods for Chemical Engineers (Dr. P. Müller)
- Statistical Modelling (Dr. C. Heinze-Deml)
- Statistik II (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik II (Humanmedizin) (Dr. D. Stekhoven)
- Student Seminar in Statistics: Inference in Some Non-Standard Regression Problems (Prof. F. Balabdaoui)
- Using R for Data Analysis and Graphics (Part I) (Prof. M. Mächler)
- Using R for Data Analysis and Graphics (Part II) (Prof. M. Mächler)
Spring semester 2021
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Causality (Dr. C. Heinze-Deml)
- Computational Statistics (Prof. M. Mächler)
- Empirical Process Theory and Applications (Prof. S. van de Geer)
- On Hypothesis Testing (Prof. F. Balabdaoui)
- Programming with R for Reproducible Research (Prof. M. Mächler)
- Student Seminar in Statistics: Statistical Network Modeling (Dr. M. Azadkia, Prof. P. Bühlmann)
- Statistics Lab (Dr. M. Kalisch, Prof. M. Maathuis, Prof. M. Mächler, Dr. L. Meier, Prof. N. Meinshausen)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (Dr. L. Meier)
Autumn semester 2020
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Biostatistics (Dr. Matteo Tanadini)
- Applied Statistical Regression (Dr. M. Dettling)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. S. van de Geer)
- Mathematik IV: Statistik (Dr. J. Ernest)
- Statistical Modelling (Prof. P. Bühlmann, Dr. M. Mächler)
- Smoothing and Nonparametric Regression with Examples (Dr. S. Beran-Ghosh)
- Statistical and Numerical Methods for Chemical Engineers (Dr. P. Müller)
- Statistik II (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik II (Humanmedizin) (Dr. D. Stekhoven)
- Stochastic Simulation (Dr. F. Sigrist)
- Stochastik (Prof. M. Maathuis)
- Student Seminar in Statistics: Multiple Testing for Modern Data Science (Dr. M. Löffler, Dr. A. Taeb)
- Time Series Analysis (Dr. F. Balabdaoui)
- Using R for Data Analysis and Graphics (Part I) (Dr. M. Mächler)
- Using R for Data Analysis and Graphics (Part II) (Dr. M. Mächler)
Spring semester 2020
- Advanced Statistical Modelling: Mixed Models (Dr. M. Mächler)
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Causality (Dr. C. Heinze-Deml)
- Computational Statistics (Prof. M. Maathuis)
- Empirical Process Theory with Applications (Prof. S. van de Geer)
- Programming with R for Reproducible Research (Dr. M. Mächler)
- Student Seminar in Statistics: Inference in Non-Classical Regression Models (Dr. F. Balabdaoui)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (Prof. P. Bühlmann)
Autumn semester 2019
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Biostatistics (Dr. Matteo Tanadini)
- Applied Statistical Regression (Dr. M. Dettling)
- Bayesian Statistics (Dr. F. Sigrist)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. S. van de Geer)
- High-Dimensional Statistics (Prof. P. Bühlmann)
- Mathematics Tools in Machine Learning (Dr. F. Balabdaoui)
- Mathematik IV: Statistik (Dr. J. Ernest)
- Smoothing and Nonparametric Regression with Examples (Dr. S. Beran-Ghosh)
- Statistical and Numerical Methods for Chemical Engineers (Dr. P. Müller)
- Statistical Modelling (Dr. C. Heinze-Deml)
- Statistik II (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik II (Humanmedizin) (Dr. D. Stekhoven)
- Student Seminar in Statistics: The Art of Statistics (Prof. M. Maathuis, Prof. P. Bühlmann, Prof. S. van de Geer)
- Using R for Data Analysis and Graphics (Part I) (Dr. M. Mächler)
- Using R for Data Analysis and Graphics (Part II) (Dr. M. Mächler)
Spring semester 2019
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Causality (Dr. C. Heinze-Deml)
- Computational Statistics (Prof. M. Maathuis)
- Empirical Process Theory with Applications in Statistics and Machine Learning (Prof. S. van de Geer)
- Mixed Models (Dr. M. Mächler)
- Multivariate Statistics (Prof. N. Meinshausen)
- Programming with R for Reproducible Research (Dr. M. Mächler)
- Student Seminar in Statistics: Adversarial and Robust Machine Learning (Prof. P. Bühlmann)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (Dr. L. Meier)
Autumn semester 2018
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Statistical Regression (Dr. M. Dettling)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. S. van de Geer)
- Mathematik IV: Statistik (Dr. J. Ernest)
- On Hypothesis Testing (Dr. F. Balabdaoui)
- Smoothing and Nonparametric Regression with Examples (Dr. S. Beran-Ghosh)
- Statistik II (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik II (Humanmedizin) (Dr. D. Stekhoven)
- Stochastic Simulation (Dr. F. Sigrist)
- Stochastics: Probability and Statistics (Prof. M. Maathuis)
- Student Seminar in Statistics: Statistical Learning with Sparsity (Dr. M. Mächler)
- Time Series Analysis (Prof. N. Meinshausen)
- Using R for Data Analysis and Graphics (Dr. M. Tanadini, Dr. M. Mächler)
Spring semester 2018
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Causality (Prof. N. Meinshausen)
- Computational Statistics (Prof. M. Maathuis)
- Mixed Models (Dr. M. Mächler)
- Programming with R for Reproducible Research (Dr. M. Mächler)
- Regression (Prof. P. Bühlmann)
- Student Seminar in Statistics: Nonparametric Estimation under Shape-Constraints (Dr. F. Balabdaoui)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (Dr. L. Meier)
Autumn semester 2017
- Advanced Computational Statistics (Prof. N. Meinshausen)
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Statistical Regression (Dr. M. Dettling)
- Bayesian Statistics (Dr. F. Sigrist)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Prof. S. van de Geer)
- Mathematik IV: Statistik (Dr. D. Stekhoven)
- On Hypothesis Testing (Dr. F. Balabdaoui)
- Student Seminar in Statistics: Computer Age Statistical Inference (Prof. M. Maathuis)
- Smoothing and Nonparametric Regression (Dr. S. Beran-Ghosh)
- Statistical and Numerical Methods for Chemical Engineers (Dr. P. Müller)
- Statistik II (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Using R for Data Analysis and Graphics (Dr. A. Drewek, Dr. M. Mächler)
Spring semester 2017
- Applied Multivariate Statistics (Dr. F. Sigrist)
- Applied Time Series (Dr. M. Dettling)
- Causality (Prof. Marloes Maathuis)
- Computational Statistics (Dr. M. Mächler, Prof. P. Bühlmann)
- Mathematik IV: Statistik (Dr. D. Stekhoven)
- Multivariate Statistics (Prof. N. Meinshausen)
- Student Seminar in Statistics: Statistical Inference under Shape Restrictions (Dr. F. Balabdaoui)
- Statistik I (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Statistik und Wahrscheinlichkeitsrechnung (Dr. L. Meier)
Autumn semester 2016
- Applied Analysis of Variance and Experimental Design (Dr. L. Meier)
- Applied Statistical Regression (Dr. M. Dettling)
- Biostatistics (Dr. B. Sick)
- Data Analytics in Organisations and Business (Dr. I. Flückiger)
- Fundamentals of Mathematical Statistics (Dr. F. Balabdaoui)
- Smoothing and Nonparametric Regression (Dr. R. Ghosh)
- Statistik II (D-BIOL, D-HEST) (Dr. M. Kalisch)
- Stochastic Simulation (Dr. F. Sigrist)
- Stochastik (RW, D-MATL, D-MAVT) (Prof. Dr. Marloes Maathuis)
- Time Series Analysis (Prof. N. Meinshausen)
- Using R for Data Analysis and Graphics (Dr. A. Drewek, Dr. A. Papritz)
Spring semester 2016
- Applied Multivariate Statistics (Prof. M. Maathuis)
- Applied Time Series Analysis (Dr. M. Dettling)
- Estimation and Testing under Sparsity (Prof. S. van de Geer)
- Computational Statistics (Dr. M. Mächler, Prof. P. Bühlmann)
- Mathematik IV (Dr. D. Stekhoven)
- Programming with R for Reproducible Research (Dr. M. Mächler)
- Regression (Prof. N. Meinshausen)
- Seminar in Statistics: Learning Blackjack (Dr. J. Peters)
- Statistics Lab (Dr. M. Kalisch, Dr. L. Meier)
- Statistik und Wahrscheinlichkeitsrechnung (D-BAUG) (Dr. L. Meier)
- Statistik I (D-BIOL) (Dr. M. Kalisch)