On Bayesian model and variable selection using MCMC. - Petros Dellaportas; Jonathan J. Forster; Ioannis Ntzoufras (Stat. Comput., 2002)

Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models. - Jonathan J. Forster; John W. McDonald; Peter W. F. Smith (Stat. Comput., 2003)

Markov chain Monte Carlo exact inference for social networks. - John W. McDonald; Peter W. F. Smith; Jonathan J. Forster (Soc. Networks, 2007)

Bayesian Assessment of Rounding-Based Disclosure Control. - Jonathan J. Forster; Roger C. Gill (Privacy in Statistical Databases, 2008)

Bayesian model determination for multivariate ordinal and binary data. - Emily L. Webb; Jonathan J. Forster (Comput. Stat. Data Anal., 2008)

Default Bayesian model determination methods for generalised linear mixed models. - Antony M. Overstall; Jonathan J. Forster (Comput. Stat. Data Anal., 2010)

Reversible jump methods for generalised linear models and generalised linear mixed models. - Jonathan J. Forster; Roger C. Gill; Antony M. Overstall (Stat. Comput., 2012)

Modelling trends in road accident frequency - Bayesian inference for rates with uncertain exposure. - Louise K. Lloyd; Jonathan J. Forster (Comput. Stat. Data Anal., 2014)

Modelling credit grade migration in large portfolios using cumulative t-link transition models. - Jonathan J. Forster; Matteo Buzzacchi; Agus Sudjianto; Risa Nagao (Eur. J. Oper. Res., 2016)

Hierarchical model for forecasting the outcomes of binary referenda. - Arkadiusz Wisniowski; Jakub Bijak; Jonathan J. Forster; Peter W. F. Smith (Comput. Stat. Data Anal., 2019)

Properties of the bridge sampler with a focus on splitting the MCMC sample. - Jackie S. T. Wong; Jonathan J. Forster; Peter W. F. Smith (Stat. Comput., 2020)