Online Program Home
My Program

Abstract Details

Activity Number: 573 - Design of Experiments for Stochastic Process Models
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2018 : 2:00 PM to 3:50 PM
Sponsor: Royal Statistical Society
Abstract #329190
Title: Developments of the Synthetic Likelihood Approach for Bayesian Design for Models with Intractable Likelihoods
Author(s): James McGree*
Keywords: Bayesian design; Intractable likelihood; Model discrimination; Parameter estimation; Total entropy; Epidemiology

Foot and mouth disease is a highly contagious infectious disease which has frequently plagued many livestock across different countries worldwide. Currently the spread of the disease is not well understood, and thus experiments are needed such that targeted disease detection, prevention and control measures can be developed. However, developing such experiments is challenging as typically the likelihood for models for such infectious diseases is computationally intractable. This poses challenges in quantifying the usefulness of different experiments through a utility function. For this purpose, a synthetic likelihood approach is considered which allows experiments for infectious diseases to be developed through the consideration of important utility functions such as total entropy. This new methodology is applied to develop experiments for foot and mouth disease, and extensions to high dimensional design spaces are also considered.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program