Stephan Morgenthaler
EPFL SB MATH STAP
MA B1 473 (Bâtiment MA)
Station 8
CH-1015 Lausanne
Mission
Research Interests: Robust statistical inference, statistical genetics, data analysis -- in particular smoothing data tables, robust linear models, spatial statistics
Biography
ACADEMIC POSITIONS
Professor of Applied Statistics, EPFL, 1988-present
Associate Professor of Statistics, Yale University, 1987-1988
Assistant Professor of Statistics, Yale University, 1983-1987
Instructor of Mathematics, Massachusetts Institute of Technology, 1983-1984
Teaching & PhD
Teaching
- Mathematics,
PhD Programs
- Doctoral Program in Mathematics
- Doctoral Program in Biotechnology and Bioengineering
PhD Students
Mariétan Rémy
Past PhD Students
De Luna XavierDraghicescu Dana ...
Faouzi Mohamed ...
Favre Anne-Catherine ...
Fournier Baptiste ...
Fournier Nicolas ...
Furrer Reinhard ...
Genton Marc
Gsponer Thomas ...
Gsteiger Sandro ...
Hosseinian Ehrensberger Sahar ...
Martin Estelle ...
Meskaldji Djalel Eddine ...
Monod Anthea ...
Nicoletti Jean-Marc ...
Ohmiti Khalid ...
Ramakrishnan Ravi ...
Reboulleau Jérôme ...
Refinetti Paul ...
Renaud Olivier ...
Restle Eva Maria ...
Rieder Sonja ...
Rukina Daria ...
Shevlyakova Maya ...
Yap Zheng Wei ...
Zenide Andrei ...
de Torrenté Laurence ...
Courses
Biostatistics
Biostatistics is about the application of statistics to medicine and the life sciences. The course covers various methods and problems that are typical for these areas of application. Despite the applied context, the course treats the topic at a fairly ab...
Data Analysis for Science and Engineering
An overview course intended for scientists and engineers who need to use statistical methods as part of their research, who have already attended a course at the second-year EPFL undergraduate level, and need revision and deepening of their knowledge at a...
Multivariate statistics
Multivariate statistics refers to data in vector form. The leading stochastic model is the multivariate Gaussian. Uncovering the associations between the components of the vectors is the main objective. The course will introduce and discuss the major type...
Probabilities and statistics
The course introduces the elementary notions of probability theory and the methods of data analysis and statistics such as tests, regression and experimental design.
Probability
This course is an introduction to probability theory for student in the Mathematics section. Starting from the axioms of the theory, the course presents the concepts of combinatorial analysis, the notions of discrete and continuous random variables and ve...