Marloes H. Maathuis: Catalogue data in Autumn Semester 2015 |
Name | Prof. Dr. Marloes H. Maathuis |
Field | Statistics |
Address | Seminar für Statistik (SfS) ETH Zürich, HG G 24.1 Rämistrasse 101 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 61 84 |
URL | http://stat.ethz.ch/~maathuis |
Department | Mathematics |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
401-3611-00L | Advanced Topics in Computational Statistics | 4 credits | 2V | M. H. Maathuis, M. Mächler | |
Abstract | This lecture covers selected advanced topics in computational statistics, including various classification methods, the EM algorithm, clustering, handling missing data, and graphical modelling. | ||||
Objective | Students learn the theoretical foundations of the selected methods, as well as practical skills to apply these methods and to interpret their outcomes. | ||||
Content | The course is roughly divided in three parts: (1) Supervised learning via (variations of) nearest neighbor methods, (2) the EM algorithm and clustering, (3) handling missing data and graphical models. | ||||
Lecture notes | Lecture notes. | ||||
Prerequisites / Notice | We assume a solid background in mathematics, an introductory lecture in probability and statistics, and at least one more advanced course in statistics. | ||||
401-5620-00L | Research Seminar on Statistics | 0 credits | 2K | P. L. Bühlmann, L. Held, T. Hothorn, M. H. Maathuis, S. van de Geer, M. Wolf | |
Abstract | Research colloquium | ||||
Objective | |||||
401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 credits | 1K | M. Kalisch, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, M. Robinson, C. Strobl, S. van de Geer | |
Abstract | About 5 talks on applied statistics. | ||||
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. |