University of Cambridge > > Inference Group > Inference in Models with Latent Hierarchies

Inference in Models with Latent Hierarchies

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

If you have a question about this talk, please contact Carl Scheffler.

Note new time

Many naturally occuring datasets have underlying hierarchical structures, motivating the desire for probabilistic models to capture and exploit these properties. In this talk, I will present three things:
  1. a model which uses multiple concurrent hierarchies as its latent data structure,
  2. a method of making MCMC inference for such models much faster,
  3. plots showing the predictive performance of this model

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity