Martin Mächler: Courses in Spring Semester 2022

Name Prof. em. Dr. Martin Mächler
Address
Seminar für Statistik (SfS)
ETH Zürich, HG GO 14.2
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telephone+41 44 632 34 08
E-mailmaechler@stat.math.ethz.ch
URLhttp://stat.ethz.ch/~maechler
DepartmentMathematics
RelationshipRetired Adjunct Professor

NumberTitleECTSHoursLecturers
401-4620-00LStatistics Lab Restricted registration - show details
Number of participants limited to 27.
6 credits2S
401-4620-00 SStatistics Lab
Substantial additional time is required for attending the consulting sessions, carrying out the data analysis and writing of the report. The dates/times for the sessions are arranged on an individual basis. More information is given during the first seminar lecture.
2 hrs
Wed16:15-18:00HG E 33.1 »
M. Kalisch, M. Mächler, L. Meier, N. Meinshausen
401-4626-00LAdvanced Statistical Modelling: Mixed Models4 credits2V
401-4626-00 VAdvanced Statistical Modelling: Mixed Models
Offered for the last time in FS 2022
2 hrs
Tue08:15-10:00HG F 26.5 »
M. Mächler
401-5640-00LZüKoSt: Seminar on Applied Statistics Information 0 credits1K
401-5640-00 KZüKoSt: Seminar on Applied Statistics
**gemeinsam mit der Universität Zürich**

Zeit: 15:15-16:30
Nach besonderem Programm gemäss Ankündigung, Koordination M. Kalisch Tel. 044 632 3435
10s hrs
Fri15:15-17:00HG G 19.1 »
M. Kalisch, F. Balabdaoui, A. Bandeira, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen, M. Robinson, C. Strobl, S. van de Geer
401-6228-00LProgramming with R for Reproducible Research Information 1 credit1G
401-6228-00 GProgramming with R for Reproducible Research14s hrs
Tue/114:15-16:00HG E 1.1 »
M. Mächler