Frameworks for causal inference
- đ¤ Speaker: Roland Ramsahai, Statistical Laboratory
- đ Date & Time: Wednesday 02 February 2011, 16:30 - 17:30
- đ Venue: MR2, CMS
Abstract
Causal inference is treated here as the study of interventions. Various frameworks for distinguishing intervention from observation are discussed. Some frameworks assume the existence of latent deterministic mechanisms which marginalise to produce observed uncertainty. Other probabilistic frameworks are agnostic to such mechanisms. The semantics and computations in both types of frameworks are described and their relative advantages compared.
Series This talk is part of the Statistics Reading Group series.
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Wednesday 02 February 2011, 16:30-17:30