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papers

Publications (15)

A Framework for Adaptive MCMC Targeting Multimodal Distributions

Emilia Pompe, Chris Holmes, Krzysztof ÅatuszyÅski

Principles of Bayesian Inference using General Divergence Criteria

Jack Jewson, Jim Q Smith, Chris Holmes

Characterising variation of nonparametric random probability measures using the Kullback-Leibler divergence

James Watson, Luis Nieto-Barajas, Chris Holmes

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

Sebastian Vollmer, Bilal A. Mateen, Gergo Bohner +15

Semi-unsupervised Learning of Human Activity using Deep Generative Models

Matthew Willetts, Aiden Doherty, Stephen Roberts +1

A General Framework for Updating Belief Distributions

Pier Giovanni Bissiri, Chris Holmes, Stephen Walker

General Bayesian Updating and the Loss-Likelihood Bootstrap

Simon Lyddon, Chris Holmes, Stephen Walker

A Bayesian nonparametric approach to testing for dependence between random variables

Sarah Filippi, Chris Holmes

A Hierarchical Bayesian Framework for Constructing Sparsity-inducing Priors

Anthony Lee, Francois Caron, Arnaud Doucet +1

Assigning a value to a power likelihood in a general Bayesian model

Chris Holmes, Stephen Walker

Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors

Anthony Lee, Francois Caron, Arnaud Doucet +1

Multiscale Blind Source Separation

Merle Behr, Chris Holmes, Axel Munk

Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks

Tristan Gray-Davies, Chris Holmes, Francois Caron

On Markov chain Monte Carlo methods for tall data

RÃ©mi Bardenet, Arnaud Doucet, Chris Holmes

Approximate Models and Robust Decisions

James Watson, Chris Holmes