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Statistical and causal inference in networks

Presented by: 
Dean Eckles Massachusetts Institute of Technology
Tuesday 12th July 2016 - 16:00 to 16:30
INI Seminar Room 1
I survey the state of methods for statistical and causal inference in networks. I present Fisherian randomization inference methods for testing for network interference (i.e., spillovers, exogenous peer effects) as an example. 

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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons