Home > Research > Researchers > Professor Chris Sherlock > Publications

Research

Professor Chris Sherlock

Senior Lecturer

26 - 44 out of 44Page size: 25
RSS feed of this list
  1. 2019
  2. 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/Magazine › Journal article › peer-review

  3. 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/Magazine › Journal article › peer-review

  4. 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/Magazine › Journal article › peer-review

  5. 2020
  6. 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/Magazine › Journal article › peer-review

  7. 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/Magazine › Journal article › peer-review

  8. 2021
  9. 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/Magazine › Journal article › peer-review

  10. 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/Magazine › Journal article › peer-review

  11. 2022
  12. 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/Magazine › Journal article › peer-review

  13. 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/Magazine › Journal article › peer-review

  14. 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/Magazine › Journal article › peer-review

  15. 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/Magazine › Journal article › peer-review

  16. Published

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

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

    Research output: Working paper › Preprint

  17. 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/Magazine › Journal article › peer-review

  18. 2023
  19. 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/Magazine › Journal article › peer-review

  20. 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/Magazine › Journal article › peer-review

  21. 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/Magazine › Journal article › peer-review

  22. 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/Magazine › Journal article › peer-review

  23. 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/Magazine › Journal article › peer-review

  24. 2024
  25. Published

    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., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 327-328 2 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

Previous 1 2 Next

Back to top