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Rigorous Systems Research Group (RSRG) Seminar

Thursday, April 21, 2016
12:00pm to 1:00pm
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Annenberg 213
Methods for Causal Discovery
Frederick Eberhardt, Professor of Philosophy, Humanities and Social Sciences, Caltech,

The now widely used theory of causal graphical models considers causal relations among a set of statistical variables. The causal relations are represented in terms of a directed graph among the set of variables, and the task of causal discovery is to identify this causal structure on the basis of the probability distribution generated by the variables in the graph. I will provide an introduction and overview of some of the methods for causal discovery, present known identifiability results and discuss the assumptions they depend on.

 

For more information, please contact Sydney Garstang by email at [email protected].