Items where Author is "Sherlock, Christopher"

Journal Article

Urbas, Szymon and Sherlock, Christopher (2022) Interim recruitment prediction for multi-centre clinical trials. Biostatistics, 23 (2). pp. 485-506. ISSN 1465-4644

Barlow, Anna and Sherlock, Christopher and Tawn, Jonathan (2020) Inference for extreme values under threshold-based stopping rules. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69 (4). pp. 765-789. ISSN 0035-9254

Towe, Ross and Tawn, Jonathan and Lamb, Rob and Sherlock, Christopher and Liu, Ye (2016) Improving statistical models for flood risk assessment. E3S Web of Conferences, 7: 01011. ISSN 2267-1242

Sherlock, Christopher (2016) Optimal scaling for the pseudo-marginal random walk Metropolis : insensitivity to the noise generating mechanism. Methodology and Computing in Applied Probability, 18 (3). pp. 869-884. ISSN 1387-5841

Nemeth, Christopher and Sherlock, Christopher and Fearnhead, Paul (2016) Particle Metropolis-adjusted Langevin algorithms. Biometrika, 103 (3). pp. 701-717. ISSN 0006-3444

Golightly, Andrew and Henderson, Daniel and Sherlock, Christopher (2015) Efficient particle MCMC for exact inference in stochastic biochemical network models through approximation of expensive likelihoods. Statistics and Computing, 25 (5). pp. 1039-1055. ISSN 0960-3174

Lunn, Judith and Lewis, Charlie and Sherlock, Christopher (2015) Impaired performance on advanced theory of mind tasks in children with epilepsy is related to poor communication and increased attention problems. Epilepsy and Behavior, 43. pp. 109-116. ISSN 1525-5069

Sherlock, Christopher and Thiery, Alex and Roberts, Gareth and Rosenthal, Jeffrey (2015) On the efficiency of pseudo-marginal random walk Metropolis algorithms. Annals of Statistics, 43 (1). pp. 238-275. ISSN 0090-5364

Archer, Debra and Costain, Deborah and Sherlock, Christopher (2014) Idiopathic Focal Eosinophilic Enteritis (IFEE), an emerging cause of abdominal pain in horses : the effect of age, time and geographical location on risk. PLoS ONE, 9 (12): e112072. ISSN 1932-6203

Sherlock, Christopher and Golightly, Andrew and Gillespie, Colin (2014) Bayesian inference for hybrid discrete-continuous stochastic kinetic models. Inverse Problems, 30 (11): 114005. ISSN 0266-5611

Xifara, Tatiana and Sherlock, Christopher and Livingstone, Samuel and Byrne, Simon and Girolami, Mark (2014) Langevin diffusions and the Metropolis-adjusted Langevin algorithm. Statistics and Probability Letters, 91. pp. 14-19. ISSN 0167-7152

Fearnhead, Paul and Giagos, Vasileios and Sherlock, Christopher (2014) Inference for reaction networks using the linear noise approximation. Biometrics, 70. pp. 457-466. ISSN 0006-341X

Sherlock, Christopher and Xifara, Tatiana and Telfer, S.E. and Begon, M. (2013) A coupled hidden Markov model for disease interactions. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62 (4). pp. 609-627. ISSN 0035-9254

Sherlock, Christopher (2013) Optimal scaling of the random walk Metropolis : general criteria for the 0.234 acceptance rule. Journal of Applied Probability, 50 (1). pp. 1-15.

Cox, Ruth and Su, Ting-Li and Clough, Helen and Woodward, MJ and Sherlock, Christopher (2012) Spatial and temporal patterns in antimicrobial resistance of Salmonella Typhimurium amongst cattle in England and Wales. Epidemiology and Infection: PMID: 2221. pp. 1-12. ISSN 0950-2688

Sherlock, Christopher and Elton, Daniel (2012) A class of spherical and elliptical distributions with Gaussian-like limit properties. International Journal of Statistics and Probability, 2012: 467187. ISSN 1927-7032

Williams, N. J. and Sherlock, Christopher and Jones, T.R. and Clough, H.E. and Telfer, S.E. and Begon, M. and French, N.P. and Bennett, M. (2011) The prevalence of antimicrobial resistant Escherichia coli in sympatric wild rodents varies by season and host. Journal of Applied Microbiology, 110 (4). pp. 962-970. ISSN 1364-5072

Contribution in Book/Report/Proceedings

Taylor, Simon and Ridall, Gareth and Sherlock, Christopher and Fearnhead, Paul (2014) Particle learning approach to Bayesian model selection : an application from neurology. In: The contribution of young researchers to Bayesian statistics : Proceedings of BAYSM2013. Springer Proceedings in Mathematics and Statistics . Springer, pp. 165-167. ISBN 9783319020839