1 code implementation • 8 Feb 2019 • Edwin Fong, Simon Lyddon, Chris Holmes
Increasingly complex datasets pose a number of challenges for Bayesian inference.
no code implementations • NeurIPS 2018 • Simon Lyddon, Stephen Walker, Chris C. Holmes
Bayesian learning is built on an assumption that the model space contains a true reflection of the data generating mechanism.
no code implementations • 22 Sep 2017 • Simon Lyddon, Chris Holmes, Stephen Walker
In this paper we revisit the weighted likelihood bootstrap, a method that generates samples from an approximate Bayesian posterior of a parametric model.