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SUMMARY:Rothschild Lecture: Causality\, Invariance and Robustness - Peter 
 Bühlmann (ETH Zürich)
DTSTART:20180622T150000Z
DTEND:20180622T160000Z
UID:TALK106894@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Is it a cause or an effect? This simple but fundamental 
 question has a long history in science and society. Randomised studies ser
 ve as the gold standard for inferring causality but they are often expensi
 ve or even<br> impossible to do due to ethical reasons. Recent approaches 
 try to "substitute in part" the randomised studies by models\, algorithms 
 and statistical methods. Perhaps surprisingly\, heterogeneity in potential
 ly<br> large-scale data can be beneficially exploited for causal inference
  and novel robustness\, with wide-ranging prospects for various applicatio
 ns. The key idea relies on a notion of probabilistic invariance: it opens 
 up new insights with connections to frameworks used in robust optimisation
  and economics.</span><br><br><br><br>
LOCATION:Seminar Room 1\, Newton Institute
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