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MAIN CONTENT

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 * RESEARCH
   
   The two main research areas at the Seminar for Statistics are
   high-dimensional statistics and causal inference.
   


 * MASTER OF SCIENCE IN STATISTICS
   
   In our Master’s degree programme you develop statistical thinking, learn to
   apply methods and gain an overview of the most important statistical models
   and procedures.  


 * ADVANCED STUDIES IN APPLIED STATISTICS
   
   The course is aimed at scientists - especially from the natural and technical
   sciences - for whom statistical data analysis forms an integral part of their
   work.


 * STATISTICAL CONSULTING
   
   The Seminar for Statistics offers a statistical consulting service as well as
   software courses.  


 * RESEARCH
   
   The two main research areas at the Seminar for Statistics are
   high-dimensional statistics and causal inference.
   


 * MASTER OF SCIENCE IN STATISTICS
   
   In our Master’s degree programme you develop statistical thinking, learn to
   apply methods and gain an overview of the most important statistical models
   and procedures.  


 * ADVANCED STUDIES IN APPLIED STATISTICS
   
   The course is aimed at scientists - especially from the natural and technical
   sciences - for whom statistical data analysis forms an integral part of their
   work.


 * STATISTICAL CONSULTING
   
   The Seminar for Statistics offers a statistical consulting service as well as
   software courses.  


 * RESEARCH
   
   The two main research areas at the Seminar for Statistics are
   high-dimensional statistics and causal inference.
   


 * MASTER OF SCIENCE IN STATISTICS
   
   In our Master’s degree programme you develop statistical thinking, learn to
   apply methods and gain an overview of the most important statistical models
   and procedures.  


 * ADVANCED STUDIES IN APPLIED STATISTICS
   
   The course is aimed at scientists - especially from the natural and technical
   sciences - for whom statistical data analysis forms an integral part of their
   work.


 * STATISTICAL CONSULTING
   
   The Seminar for Statistics offers a statistical consulting service as well as
   software courses.  

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OPEN POSITION




SFS NEWS


JO­NAS PETERS: NEWLY AP­POIN­TED PRO­FESSOR

We warmly wel­come our new fac­ulty mem­ber, Pro­fessor Jo­nas Peters. He was
ap­poin­ted by the ETH Board in Septem­ber 2022 and took up his po­s­i­tion on 1
April 2023.

03.04.2023


DOC­TORAL EXAM OF CORINNE EM­ME­NEG­GER

Corinne Em­me­neg­ger suc­cess­fully passed her oral doc­toral thesis
ex­am­in­a­tion en­titled: "Stat­ist­ical ma­chine learn­ing for com­plex data".
Con­grat­u­la­tions!

01.03.2023


DOC­TORAL EXAM OF META LINA SPOHN

Meta Lina Spohn suc­cess­fully passed her oral doc­toral thesis ex­am­in­a­tion
en­titled: "On miss­ing value im­puta­tion and treat­ment ef­fect es­tim­a­tion
on net­work data". Con­grat­u­la­tions!

20.02.2023

--------------------------------------------------------------------------------

See more news items


UPCOMING EVENTS

18.04.2023 | 14:15


ETH- FDS SEM­INAR

DACO- FDS: Stochastic Al­gorithms in the Large: Batch Size Sat­ur­a­tion,
Step­size Crit­ic­al­ity, Gen­er­al­iz­a­tion Per­form­ance, and Ex­act
Dy­nam­ics (Part I) – Court­ney Paquette in HG G 19.1

18.04.2023 | 15:10


ETH- FDS SEM­INAR

DACO- FDS: Stochastic Al­gorithms in the Large: Batch Size Sat­ur­a­tion,
Step­size Crit­ic­al­ity, Gen­er­al­iz­a­tion Per­form­ance, and Ex­act
Dy­nam­ics (Part II) – El­liot Paquette in HG G 19.1


FAREWELL LECTURE


SARA VAN DE GEER

Data dust

31 May 2023

5.15–6.15 p.m.

HG F 30 (Audi Max)
 



THE SEMINAR FOR STATISTICS






ADDITIONAL INFORMATION

Research at SfS: From robust to high-dimensional statistics and causal
inference.

Read more


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Contact

HG G 10.3
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ETH Zurich

Seminar for Statistics (SfS)
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8092 Zurich
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