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Professor Chris Sherlock

Senior Lecturer

  1. 2024
  2. E-pub ahead of print

    Tamás P. Papp, Paul Fearnhead and Chris Sherlock's contribution to the discussion of “the Discussion Meeting on Probabilistic and statistical aspects of machine learning”

    Papp, T. P., Fearnhead, P. & Sherlock, C., 17/01/2024, (E-pub ahead of print) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. 2023
  4. Published

    SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

    Vyner, C., Nemeth, C. & Sherlock, C., 31/12/2023, In: Stat. 12, 1, 11 p., e523.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    The Apogee to Apogee Path Sampler

    Sherlock, C., Urbas, S. & Ludkin, M., 2/10/2023, In: Journal of Computational and Graphical Statistics. 32, 4, p. 1436-1446 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Accelerating inference for stochastic kinetic models

    Lowe, T. E., Golightly, A. & Sherlock, C., 30/09/2023, In: Computational Statistics and Data Analysis. 185, 21 p., 107760.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Hug and Hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm

    Ludkin, M. & Sherlock, C., 30/06/2023, In: Biometrika. 110, 2, p. 301-318 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Exact Bayesian inference for discretely observed Markov Jump Processes using finite rate matrices

    Sherlock, C. & Golightly, A., 31/01/2023, In: Journal of Computational and Graphical Statistics. 32, 1, p. 36-48 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. 2022
  10. Published

    Variance bounding of delayed-acceptance kernels

    Sherlock, C. & Lee, A., 30/09/2022, In: Methodology and Computing in Applied Probability. 24, 3, p. 2237-2260 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

    Vyner, C., Nemeth, C. & Sherlock, C., 8/08/2022.

    Research output: Working paperPreprint

  12. Published

    Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals

    Mountain, R. & Sherlock, C., 30/06/2022, In: Biometrics. 78, 2, p. 636-648 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Published

    A discrete bouncy particle sampler

    Sherlock, C. & Thiery, A., 1/06/2022, In: Biometrika. 109, 2, p. 335-349 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. Published

    Interim recruitment prediction for multi-centre clinical trials

    Urbas, S. & Sherlock, C., 30/04/2022, In: Biostatistics. 23, 2, p. 485-506 22 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  15. Published

    Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes

    Golightly, A. & Sherlock, C., 15/02/2022, In: Statistics and Computing. 32, 18 p., 21.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. 2021
  17. Published

    Direct statistical inference for finite Markov jump processes via the matrix exponential

    Sherlock, C., 31/12/2021, In: Computational Statistics. 36, 4, p. 2863-2887 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. Published

    Efficiency of delayed-acceptance random walk Metropolis algorithms

    Sherlock, C., Thiery, A. & Golightly, A., 15/10/2021, In: Annals of Statistics. 49, 5, p. 2972-2990 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. 2020
  20. Published

    Inference for extreme values under threshold-based stopping rules

    Barlow, A., Sherlock, C. & Tawn, J., 1/08/2020, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 69, 4, p. 765-789 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  21. Published

    Motor unit number estimation via sequential Monte Carlo

    Taylor, S., Sherlock, C., Ridall, G. & Fearnhead, P., 1/04/2020, In: Computational Statistics and Data Analysis. 144, 16 p., 106845.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. 2019
  23. Published

    Model-based inference of conditional extreme value distributions with hydrological applications

    Towe, R. P., Tawn, J. A., Lamb, R. & Sherlock, C. G., 1/12/2019, In: Environmetrics. 30, 8, 20 p., e2575.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  24. Published

    Efficiency of delayed-acceptance random walk Metropolis algorithms

    Sherlock, C. G., Thiery, A. & Golightly, A., 3/07/2019, In: arXiv. 36 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. E-pub ahead of print

    Efficient sampling of conditioned Markov jump processes

    Golightly, A. & Sherlock, C. G., 13/02/2019, (E-pub ahead of print) In: Statistics and Computing. 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  26. 2018
  27. Published

    Merging MCMC subposteriors through Gaussian-Process Approximations

    Nemeth, C. & Sherlock, C. G., 03/2018, In: Bayesian Analysis. 13, 2, p. 507-530 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  28. 2017
  29. Published

    Pseudo-marginal Metropolis-Hastings sampling using averages of unbiased estimators

    Sherlock, C. G., Thiery, A. & Lee, A., 09/2017, In: Biometrika. 104, 3, p. 727-734 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  30. Published

    Improved bridge constructs for stochastic differential equations

    Whitaker, G. A., Golightly, A., Boys, R. J. & Sherlock, C. G., 07/2017, In: Statistics and Computing. 27, 4, p. 885-900 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  31. Published

    Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods

    Sherlock, C. G., Golightly, A. & Henderson, D., 1/06/2017, In: Journal of Computational and Graphical Statistics. 26, 2, p. 434-444 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  32. 2016
  33. Published

    Improving statistical models for flood risk assessment

    Towe, R., Tawn, J., Lamb, R., Sherlock, C. & Liu, Y., 20/10/2016, In: E3S Web of Conferences. 7, 12 p., 01011.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  34. E-pub ahead of print

    Bayesian inference for diffusion-driven, mixed-effects models

    Whitaker, G. A., Golightly, A., Boys, R. J. & Sherlock, C. G., 30/09/2016, (E-pub ahead of print) In: Bayesian Analysis. 12, 2, p. 435-463 29 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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