Richard G. Everitt

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Annealing Strategies for Variance Reduction in Balance Heuristic Estimators.
Stat. Comput.
Felipe J. Medina-Aguayo, Richard G. Everitt
2025 J jnl
Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model.
PLoS Comput. Biol.
Ian Roberts, Richard G. Everitt, Jere Koskela, Xavier Didelot
2025 J jnl
Prequential posteriors.
CoRR
Shreya Sinha Roy, Richard G. Everitt, Christian P. Robert, Ritabrata Dutta
2024 J jnl
Generalized Bayesian deep reinforcement learning.
CoRR
Shreya Sinha Roy, Richard G. Everitt, Christian P. Robert, Ritabrata Dutta
2021 J jnl
Delayed Acceptance ABC-SMC.
J. Comput. Graph. Stat.
Richard G. Everitt, Paulina A. Rowinska
2020 J jnl
Sequential Monte Carlo with transformations.
Stat. Comput.
Richard G. Everitt, Richard Culliford, Felipe J. Medina-Aguayo, Daniel J. Wilson
2018 J jnl
A rare event approach to high-dimensional approximate Bayesian computation.
Stat. Comput.
Dennis Prangle, Richard G. Everitt, Theodore Kypraios
2018 J jnl
Efficient importance sampling in low dimensions using affine arithmetic.
Comput. Stat.
Richard G. Everitt
2017 J jnl
Bayesian model comparison with un-normalised likelihoods.
Stat. Comput.
Richard G. Everitt, Adam M. Johansen, Ellen Rowing, Melina Evdemon-Hogan
2017 J jnl
Bootstrapped synthetic likelihood.
CoRR
Richard G. Everitt
2017 J jnl
Marginal sequential Monte Carlo for doubly intractable models.
CoRR
Richard G. Everitt, Dennis Prangle, Philip Maybank, Mark Bell
2016 J jnl
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels.
Stat. Comput.
Pierre Alquier, Nial Friel, Richard G. Everitt, Aidan Boland
2012 J jnl
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
CoRR
Richard G. Everitt
2009 J jnl
A statistical approach to the problem of restoring damaged and contaminated images.
Pattern Recognit.
Richard G. Everitt, Richard H. Glendinning
2006 J jnl
Multi-target out-of-sequence data association: Tracking using graphical models.
Inf. Fusion
Simon Maskell, Richard G. Everitt, Robert Wright, Mark Briers