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Research

Professor Chris Sherlock

Senior Lecturer

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  1. Chapter
  2. Published

    Particle learning approach to Bayesian model selection: an application from neurology

    Taylor, S., Ridall, G., Sherlock, C. & Fearnhead, P., 2014, The contribution of young researchers to Bayesian statistics: Proceedings of BAYSM2013. Lanzarone, E. & Leva, F. (eds.). Springer, p. 165-167 3 p. (Springer Proceedings in Mathematics and Statistics; vol. 63).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  3. Doctoral Thesis
  4. Unpublished

    Methodology for inference on the Markov modulated Poisson process and theory for optimal scaling of the random walk Metropolis

    Sherlock, C., 2006, (Unpublished) Lancaster University. 245 p.

    Research output: Thesis › Doctoral Thesis

  5. Journal article
  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

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