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Professor Chris Sherlock

Senior Lecturer

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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

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 Unpublished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    Sherlock, C., 2006, (Unpublished) Lancaster University. 245 p.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

  7. 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

  8. 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

  9. 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

  10. 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

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