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SUMMARY:Statistical and causal inference in networks - Dean Eckles (Massac
 husetts Institute of Technology)
DTSTART:20160712T150000Z
DTEND:20160712T153000Z
UID:TALK66720@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:I survey the state of methods for statistical and causal infer
 ence in networks. I present Fisherian randomization inference methods for 
 testing for network interference (i.e.\, spillovers\, exogenous peer effec
 ts) as an example.&nbsp\;<br>See&nbsp\;<a href="http://www.nber.org/papers
 /w21313" rel="nofollow" target="_blank">https://arxiv.org/abs/1506.02084</
 a><br>
LOCATION:Seminar Room 1\, Newton Institute
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