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ORCIDRichard G. Everitt
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2020 – today
- 2021
[j9]Richard G. Everitt, Paulina A. Rowinska:
Delayed Acceptance ABC-SMC. J. Comput. Graph. Stat. 30(1): 55-66 (2021)- 2020
- [j8]Richard G. Everitt
, Richard Culliford, Felipe J. Medina-Aguayo, Daniel J. Wilson:
Sequential Monte Carlo with transformations. Stat. Comput. 30(3): 663-676 (2020)
2010 – 2019
- 2018
- [j7]Richard G. Everitt:
Efficient importance sampling in low dimensions using affine arithmetic. Comput. Stat. 33(1): 1-29 (2018) - [j6]Dennis Prangle, Richard G. Everitt, Theodore Kypraios:
A rare event approach to high-dimensional approximate Bayesian computation. Stat. Comput. 28(4): 819-834 (2018) - 2017
- [j5]Richard G. Everitt, Adam M. Johansen, Ellen Rowing, Melina Evdemon-Hogan:
Bayesian model comparison with un-normalised likelihoods. Stat. Comput. 27(2): 403-422 (2017) - [i3]Richard G. Everitt, Dennis Prangle, Philip Maybank, Mark Bell:
Marginal sequential Monte Carlo for doubly intractable models. CoRR abs/1710.04382 (2017) - [i2]Richard G. Everitt:
Bootstrapped synthetic likelihood. CoRR abs/1711.05825 (2017) - 2016
- [j4]Pierre Alquier, Nial Friel, Richard G. Everitt, Aidan Boland:
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. Stat. Comput. 26(1-2): 29-47 (2016) - 2013
- [j3]Richard Geoffrey Everitt, Christophe Andrieu, Manuel Davy:
Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes. IEEE Trans. Signal Process. 61(22): 5755-5766 (2013) - 2012
- [i1]Richard G. Everitt:
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks. CoRR abs/1203.3725 (2012)
2000 – 2009
- 2009
- [j2]Richard G. Everitt, Richard H. Glendinning:
A statistical approach to the problem of restoring damaged and contaminated images. Pattern Recognit. 42(1): 115-125 (2009) - 2006
- [j1]Simon Maskell, Richard G. Everitt, Robert Wright, Mark Briers:
Multi-target out-of-sequence data association: Tracking using graphical models. Inf. Fusion 7(4): 434-447 (2006)
Coauthor Index
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