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Research

Professor Chris Sherlock

Senior Lecturer

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  1. 2014
  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

    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

  4. 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

  5. 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

  6. 2015
  7. 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

  8. 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

  9. 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

  10. 2016
  11. 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

  12. 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

  13. 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

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