no code implementations • 13 Jun 2022 • Sahra Ghalebikesabi, Chris Holmes, Edwin Fong, Brieuc Lehmann
In the context of density estimation, the standard nonparametric Bayesian approach is to target the posterior predictive of the Dirichlet process mixture model.
no code implementations • 21 May 2019 • Edwin Fong, Chris Holmes
In Bayesian statistics, the marginal likelihood, also known as the evidence, is used to evaluate model fit as it quantifies the joint probability of the data under the prior.
1 code implementation • 8 Feb 2019 • Edwin Fong, Simon Lyddon, Chris Holmes
Increasingly complex datasets pose a number of challenges for Bayesian inference.