printlogo
http://www.ethz.ch/index_EN
Department of Mathematics
 
print
  

Seminar in Statistics: Causality

Please note that this page is old.
Check in the VVZ for a current information.
Organizers Prof. Peter Bühlmann, Prof. Marloes Maathuis
Place HG F3
Time Monday 15-17
First meeting Monday, February 16, 2009
Contact Nicolas Städler (staedler@stat.math.ethz.ch), Philipp Rütimann (rutimann@stat.math.ethz.ch)
Description Many traditional statistical techniques focus on associations between variables. In practice, however, one is often much more interested in causal relationships between variables. In this seminar, we study ways to make such causal inference. Special emphasis is placed on the assumptions that underly causal inferences, the languages used in formulating those assumptions, and the conditional nature of causal claims inferred from nonexperimental (i.e. observational) studies. These include the control of confounding, the assessment of causal effects and the interpretation of counterfactuals.
Literature Judea Pearl. Causality - Models, Reasoning, and Inference. Cambridge University Press, NY, 2008.
Further information Please check the seminar homepage.
 

Wichtiger Hinweis:
Diese Website wird in älteren Versionen von Netscape ohne graphische Elemente dargestellt. Die Funktionalität der Website ist aber trotzdem gewährleistet. Wenn Sie diese Website regelmässig benutzen, empfehlen wir Ihnen, auf Ihrem Computer einen aktuellen Browser zu installieren. Weitere Informationen finden Sie auf
folgender Seite.

Important Note:
The content in this site is accessible to any browser or Internet device, however, some graphics will display correctly only in the newer versions of Netscape. To get the most out of our site we suggest you upgrade to a newer browser.
More information

© 2016 Mathematics Department | Imprint | Disclaimer | 24 February 2009
top