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Research

Professor Chris Sherlock

Senior Lecturer

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  1. Published

    Langevin diffusions and the Metropolis-adjusted Langevin algorithm

    Xifara, T., Sherlock, C., Livingstone, S., Byrne, S. & Girolami, M., 08/2014, In: Statistics and Probability Letters. 91, p. 14-19 6 p.

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

  2. Published

    The prevalence of antimicrobial resistant Escherichia coli in sympatric wild rodents varies by season and host.

    Williams, N. J., Sherlock, C., Jones, T. R., Clough, H. E., Telfer, S. E., Begon, M., French, N. P. & Bennett, M., 2011, In: Journal of Applied Microbiology. 110, 4, p. 962-970 9 p.

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

  3. 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/Magazine › Journal article › peer-review

  4. 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/Magazine › Journal article › peer-review

  5. 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

  6. 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

  7. 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

  8. 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/Magazine › Journal article › peer-review

  9. 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

  10. 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

  11. 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

  12. Published

    Optimal scaling of the random walk Metropolis on unimodal elliptically symmetric targets.

    Sherlock, C. & Roberts, G., 2009, In: Bernoulli. 15, 3, p. 774-798 25 p.

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

  13. Published

    The random walk Metropolis : linking theory and practice through a case study.

    Sherlock, C., Fearnhead, P. & Roberts, G., 05/2010, In: Statistical Science. 25, 2, p. 172-190 19 p.

    Research output: Contribution to Journal/Magazine › Journal article

  14. 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

  15. Published

    A class of spherical and elliptical distributions with Gaussian-like limit properties

    Sherlock, C. & Elton, D., 2012, In: International Journal of Statistics and Probability. 2012, 17 p., 467187.

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

  16. Published

    Optimal scaling of the random walk Metropolis: general criteria for the 0.234 acceptance rule

    Sherlock, C., 03/2013, In: Journal of Applied Probability. 50, 1, p. 1-15 15 p.

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

  17. Published

    A coupled hidden Markov model for disease interactions

    Sherlock, C., Xifara, T., Telfer, S. E. & Begon, M., 08/2013, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 62, 4, p. 609-627 19 p.

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

  18. Published

    Bayesian inference for hybrid discrete-continuous stochastic kinetic models

    Sherlock, C., Golightly, A. & Gillespie, C., 11/2014, In: Inverse Problems. 30, 11, 22 p., 114005.

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

  19. Published

    On the efficiency of pseudo-marginal random walk Metropolis algorithms

    Sherlock, C., Thiery, A., Roberts, G. & Rosenthal, J., 01/2015, In: Annals of Statistics. 43, 1, p. 238-275 38 p.

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

  20. Published

    Optimal scaling for the pseudo-marginal random walk Metropolis: insensitivity to the noise generating mechanism

    Sherlock, C., 09/2016, In: Methodology and Computing in Applied Probability. 18, 3, p. 869-884 16 p.

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

  21. 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/Magazine › Journal article › peer-review

  22. 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/Magazine › Journal article › peer-review

  23. 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

  24. 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

  25. 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

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