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Professor Chris Sherlock

Senior Lecturer

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  1. 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

  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. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

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