10 Sep
2012
10 Sep
'12
1:34 a.m.
Dear all,
Please join us for the Applied Statistics Workshop (Gov 3009) this
Wednesday, September 12 from 12.00 - 1.30 pm in CGIS Knafel Room 354. Jamie
Robins <http://www.hsph.harvard.edu/faculty/james-robins/>, Professor of
Epidemiology at the Harvard School of Public Health, will give a
presentation entitled "A Simple Unification of the Potential Outcome and
Causal Graph Approaches to Causal Inference". As always, a light lunch will
be provided.
Abstract:
**
Potential outcomes are extensively used within
statistics, epidemiology,
and political science for reasoning about causation. Directed acyclic
graphs are another formalism used to represent causal systems. They are
extensively used in computer science, bioinformatics, sociology and
epidemiology. It is natural to wish to unify them.
We present a simple approach to this unification. The approach is based on
the idea of splitting nodes to construct graphs whose
nodes are potential
outcomes. The resulting graph can be used to read off counterfactual
independencies. These independencies are satisfied by all previously
proposed graphical and nongraphical causal models. We review many examples
to illustrate the power of this approach.
This is joint work with Thomas Richardson at the University of Washington.
An up-to-date schedule for the workshop is available at
http://www.iq.harvard.edu/events/node/1208.
Best,
Konstantin
--
Konstantin Kashin
Ph.D. Candidate in Government
Harvard University
Mobile: 978-844-0538
E-mail: kkashin(a)fas.harvard.edu
Site: http://www.konstantinkashin.com/<http://people.fas.harvard.edu/%7Ekkashi…