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Student Seminar in Statistics: Distribution Generalization
Last Updated: 2026-06-03 00:14:14
Abstract
When learning how to predict a response variable from some covariates, we often assume that training and test distributions are equal. This may not be satisfied in practice, however. In this seminar, we study the problem of distribution generalization, which allows training and test distributions to differ. We consider statistical models, methods and algorithms, and theoretical results.
Objective
The participants of the seminar acquire knowledge about existing models and methods for distribution generalization, theoretical guarantees, and theoretical limitations.
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Semesterly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Signup End
- 07.02.2026
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Student Seminar in Statistics: Distribution Generalization |
|
2 h weekly |
Offered In
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Seminars (The number of seminar places is limited, and the special selection procedure should help to allocate the places not primarily according to the registration time. Everybody is waitlisted first when he/she tries to register for a seminar in myStudies. Moreover: Only one mathematics seminar can be chosen per semester. Notice also the course unit 401-0002-99L Generic Seminar - Second Priority / Third Priority.)
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Seminars (The number of seminar places is limited, and the special selection procedure should help to allocate the places not primarily according to the registration time. Everybody is waitlisted first when he/she tries to register for a seminar in myStudies. Moreover: Only one mathematics seminar can be chosen per semester. In case you need to attend 2 seminars in this semester, please take contact with the Study Administration (email: ). Notice also the course unit 401-0002-99L Generic Seminar - Second Priority / Third Priority.)
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Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
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