
Lecturer: 
Prof. Nicolai Meinshausen 
Lectures: 
Wed 1012 HG E 41 Fri 1315 HG E 41 Fri 1315 HG E 19 see "Schedule" section below 
Assistants: 
Christopher Nowzohour 
In regression analysis, we examine the relationship between a random
response variable and several other explanatory variables. In this
class, we consider the theory of linear regression with one or more
explanatory variables. Moreover, we also study robust methods,
generalized linear models, and nonparametric methods. Several
numerical examples will illustrate the theory. The main goals for this
class are:
Wednesdays there will be lectures every week (exceptions will be announced). Fridays will alternate between lectures and exercise sessions. The first exercise session is on February 21 and will be an introduction to the statistical programming language R. All exercises take place in computer rooms, where you can solve the R questions and ask questions. You can also bring your own laptop if you prefer. Please check this course website regularly for announcements regarding the schedule.
qqplot_examples_smallsample.pdf
Slides from April 11 (Summary of Linear Regression)
Here you can find a copy of the lecture notes with everything that was covered during the course marked in blue (but without the additional material covered during the lectures).
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