
Lecturers:  N. Meinshausen 
Time:
Location: 
Monday 15:15  17:00
HG G 26.5 
Assistants: 
D. Rothenhäusler 
Start:  Mon, Feb 16, 2015 
The seminar familiarizes students with the basic techniques of highdimensional data analysis. Both theoretical concepts and practical implementation of methods will be discussed.
We require at least one course in statistics in addition to the 4th semester course Introduction to Probability and Statistics.
The schedule is available here (last updated 17.2.)
Each student is required to hold a presentation about a given subject. We allow 2 students per class who present ca. 60 minutes in
total. Each group will coordinate their oral contributions. Additionally, students should be present at the other seminar classes.
Two weeks prior to the presentation date each student attends a meeting with one of the assistants to discuss the topic and discuss remaining questions. Standard time for this first meeting is Monday 13:45 at the advisor's office. It is expected that the student has already read the material and is familiar with the topic. One week prior to the presentation each student meets again with the same assistant (they have to agree on a time). It is expected that presentation and handout (optional) are more or less finished. Both meetings will take place either on Mondays or Tuesdays.
We regard feedback as an important part of such a seminar. Rules for giving and receiving feedback can be found here, criteria for feedback can be found here. Take your talk number add 4 and consider the result modulo 12. This is when your group is supposed to give feedback.
Ask many questions! Take your talk number, substract 4 and consider the result modulo 12. This is, when you are supposed to ask questions. You do not have to prepare anything for this but each member of your group has to ask at least one question. You are encouraged to ask questions during other talks, too, of course.
The book is available online via the ETH library.
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