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401-3620-24L
4
Credits
BSC
,
MSC
D-MATH
,
D-INFK
,
D-ITET
Student Seminar in Statistics: E-Values and Anytime-Valid Inference
Lecturers & Examiners:
Prof. Dr. Johanna Ziegel
Number of participants limited to 35.
Fully booked.
Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.
Last Updated: 2026-06-03 00:14:14
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Semesterly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Signup End
- 07.02.2026
Limited places (Special selection)
Priority: Registration for the course unit is only possible for the primary target group
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Student Seminar in Statistics: E-Values and Anytime-Valid Inference |
|
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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