Search Results for author: Simon Lyddon

Found 3 papers, 1 papers with code

Nonparametric learning from Bayesian models with randomized objective functions

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.

General Bayesian Updating and the Loss-Likelihood Bootstrap

no code implementations22 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.