Peter L. Bühlmann: Catalogue data in Autumn Semester 2019 |
| Name | Prof. Dr. Peter L. Bühlmann |
| Field | Mathematik |
| Address | Seminar für Statistik (SfS) ETH Zürich, HG G 17 Rämistrasse 101 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 73 38 |
| Fax | +41 44 632 12 28 |
| peter.buehlmann@stat.math.ethz.ch | |
| URL | http://stat.ethz.ch/~peterbu |
| Department | Mathematics |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 401-3627-00L | High-Dimensional Statistics | 4 credits | 2V | P. L. Bühlmann | |
| Abstract | "High-Dimensional Statistics" deals with modern methods and theory for statistical inference when the number of unknown parameters is of much larger order than sample size. Statistical estimation and algorithms for complex models and aspects of multiple testing will be discussed. | ||||
| Learning objective | Knowledge of methods and basic theory for high-dimensional statistical inference | ||||
| Content | Lasso and Group Lasso for high-dimensional linear and generalized linear models; Additive models and many smooth univariate functions; Non-convex loss functions and l1-regularization; Stability selection, multiple testing and construction of p-values; Undirected graphical modeling | ||||
| Literature | Peter Bühlmann and Sara van de Geer (2011). Statistics for High-Dimensional Data: Methods, Theory and Applications. Springer Verlag. ISBN 978-3-642-20191-2. | ||||
| Prerequisites / Notice | Knowledge of basic concepts in probability theory, and intermediate knowledge of statistics (e.g. a course in linear models or computational statistics). | ||||
| 401-5000-00L | Zurich Colloquium in Mathematics  | 0 credits | S. Mishra, P. L. Bühlmann, R. Pandharipande, University lecturers | ||
| Abstract | The lectures try to give an overview of "what is going on" in important areas of contemporary mathematics, to a wider non-specialised audience of mathematicians. | ||||
| Learning objective | |||||
| 401-5620-00L | Research Seminar on Statistics | 0 credits | 2K | A. Bandeira, P. L. Bühlmann, L. Held, T. Hothorn, D. Kozbur, M. H. Maathuis, C. Uhler, S. van de Geer, M. Wolf | |
| Abstract | Research colloquium | ||||
| Learning objective | |||||
| 401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 credits | 1K | M. Kalisch, A. Bandeira, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, M. Robinson, C. Strobl, C. Uhler, S. van de Geer | |
| Abstract | About 5 talks on applied statistics. | ||||
| Learning objective | See how statistical methods are applied in practice. | ||||
| Content | There will be about 5 talks on how statistical methods are applied in practice. | ||||
| Prerequisites / Notice | This is no lecture. There is no exam and no credit points will be awarded. The current program can be found on the web: http://stat.ethz.ch/events/zukost Course language is English or German and may depend on the speaker. | ||||
| 401-5680-00L | Foundations of Data Science Seminar | 0 credits | P. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer | ||
| Abstract | Research colloquium | ||||
| Learning objective | |||||