University of Cambridge > > Statistics Reading Group > Frameworks for causal inference

Frameworks for causal inference

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Richard Samworth.

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.

This talk is part of the Statistics Reading Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity