Presented by: 
Dr. Scott Sisson (UNSW)
Date: 
Mon 22 Mar, 2:00 pm - 3:00 pm
Venue: 
214 in Otto Hirschfeld (81)

In recent years, applications of Bayesian inference using models with computationally intractable likelihood functions have become increasingly commonplace. These have been motivated by a desire to fit realistic models to data, rather than simplify the models for the sake of computational convenience. In this talk I will present a snapshot of Bayesian "likelihood-free" methods, the underlying models that they induce, and a selection from the range of applications to which they have been applied to date.

No prior knowledge of any of the topics mentioned is assumed.