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Research

Professor Chris Sherlock

Senior Lecturer

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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. Published

    An exact Gibbs sampler for the Markov Modulated Poisson Process.

    Fearnhead, P. & Sherlock, C., 2006, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 68, 5, p. 767-784 18 p.

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

  7. 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

  8. 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

  9. 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

  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. 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

  12. 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

  13. Published

    Efficient particle MCMC for exact inference in stochastic biochemical network models through approximation of expensive likelihoods

    Golightly, A., Henderson, D. & Sherlock, C., 09/2015, In: Statistics and Computing. 25, 5, p. 1039-1055 17 p.

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

  14. 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

  15. 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

  16. 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

  17. Published

    Idiopathic Focal Eosinophilic Enteritis (IFEE), an emerging cause of abdominal pain in horses: the effect of age, time and geographical location on risk

    Archer, D., Costain, D. & Sherlock, C., 2/12/2014, In: PLoS ONE. 9, 12, 19 p., e112072.

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

  18. Published

    Impaired performance on advanced theory of mind tasks in children with epilepsy is related to poor communication and increased attention problems

    Lunn, J., Lewis, C. & Sherlock, C., 02/2015, In: Epilepsy and Behavior. 43, p. 109-116 8 p.

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

  19. 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

  20. 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

  21. 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

  22. Published

    Inference for reaction networks using the linear noise approximation

    Fearnhead, P., Giagos, V. & Sherlock, C., 2014, In: Biometrics. 70, p. 457-466 10 p.

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

  23. 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

  24. 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

  25. 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/Magazine › Journal article › peer-review

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. Published

    Particle Metropolis-adjusted Langevin algorithms

    Nemeth, C., Sherlock, C. & Fearnhead, P., 09/2016, In: Biometrika. 103, 3, p. 701-717 17 p.

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

  35. 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

  36. 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

  37. Published

    Spatial and temporal patterns in antimicrobial resistance of Salmonella Typhimurium amongst cattle in England and Wales

    Cox, R., Su, T-L., Clough, H., Woodward, MJ. & Sherlock, C., 2012, In: Epidemiology and Infection. p. 1-12 12 p., PMID: 22214772.

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

  38. 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

  39. 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

  40. 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/Magazine › Journal article › peer-review

  41. 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

  42. 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

  43. 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

  44. 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

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