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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Rothschild Lecture: Causality\, Invariance and Rob
ustness - Peter Bühlmann (ETH Zürich)
DTSTART;TZID=Europe/London:20180622T160000
DTEND;TZID=Europe/London:20180622T170000
UID:TALK107356AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/107356
DESCRIPTION:Is it a cause or an effect? This simple but
fundamental question has a long history in science
and society. Randomised studies serve as the gold
standard for inferring causality but they are oft
en expensive or even
impossible to do due to e
thical reasons. Recent approaches try to "substitu
te in part" the randomised studies by models\, alg
orithms and statistical methods. Perhaps surprisin
gly\, heterogeneity in potentially
large-scale
data can be beneficially exploited for causal inf
erence and novel robustness\, with wide-ranging pr
ospects for various applications. The key idea rel
ies on a notion of probabilistic invariance: it op
ens up new insights with connections to frameworks
used in robust optimisation and economics.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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