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2020 – today
- 2024
[i1]Paul Fearnhead, Christopher Nemeth, Chris J. Oates, Chris Sherlock:
Scalable Monte Carlo for Bayesian Learning. CoRR abs/2407.12751 (2024)- 2023
- [j10]Tom E. Lowe, Andrew Golightly
, Chris Sherlock:
Accelerating inference for stochastic kinetic models. Comput. Stat. Data Anal. 185: 107760 (2023) - [j9]Chris Sherlock, Andrew Golightly:
Exact Bayesian Inference for Discretely Observed Markov Jump Processes Using Finite Rate Matrices. J. Comput. Graph. Stat. 32(1): 36-48 (2023) - [j8]Chris Sherlock, Szymon Urbas, Matthew Ludkin:
The Apogee to Apogee Path Sampler. J. Comput. Graph. Stat. 32(4): 1436-1446 (2023) - 2022
- [j7]Andrew Golightly, Chris Sherlock:
Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes. Stat. Comput. 32(1): 21 (2022) - 2021
- [j6]Chris Sherlock:
Direct statistical inference for finite Markov jump processes via the matrix exponential. Comput. Stat. 36(4): 2863-2887 (2021) - 2020
- [j5]Simon A. C. Taylor, Chris Sherlock, Gareth Ridall, Paul Fearnhead:
Motor unit number estimation via sequential Monte Carlo. Comput. Stat. Data Anal. 144: 106845 (2020)
2010 – 2019
- 2019
- [j4]Andrew Golightly, Chris Sherlock:
Efficient sampling of conditioned Markov jump processes. Stat. Comput. 29(5): 1149-1163 (2019) - 2017
- [j3]Gavin A. Whitaker, Andrew Golightly, Richard J. Boys, Chris Sherlock:
Improved bridge constructs for stochastic differential equations. Stat. Comput. 27(4): 885-900 (2017) - 2015
- [j2]Andrew Golightly, Daniel A. Henderson, Chris Sherlock:
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models. Stat. Comput. 25(5): 1039-1055 (2015) - 2013
- [j1]Chris Sherlock:
Optimal Scaling of the Random Walk Metropolis: General Criteria for the 0.234 Acceptance Rule. J. Appl. Probab. 50(1): 1-15 (2013)
Coauthor Index
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