Jonathan J. Forster - researchr alias

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Viewing Publication 1 - 10 from 10

2020

Properties of the bridge sampler with a focus on splitting the MCMC sampleJackie S. T. Wong, Jonathan J. Forster, Peter W. F. Smith. sac, 30(4):799-816, 2020. [doi]

2019

Hierarchical model for forecasting the outcomes of binary referendaArkadiusz Wisniowski, Jakub Bijak, Jonathan J. Forster, Peter W. F. Smith. csda, 133:90-103, 2019. [doi]

2016

Modelling credit grade migration in large portfolios using cumulative t-link transition modelsJonathan J. Forster, Matteo Buzzacchi, Agus Sudjianto, Risa Nagao. eor, 254(3):977-984, 2016. [doi]

2014

Modelling trends in road accident frequency - Bayesian inference for rates with uncertain exposureLouise K. Lloyd, Jonathan J. Forster. csda, 73:189-204, 2014. [doi]

2012

Reversible jump methods for generalised linear models and generalised linear mixed modelsJonathan J. Forster, Roger C. Gill, Antony M. Overstall. sac, 22(1):107-120, 2012. [doi]

2010

Default Bayesian model determination methods for generalised linear mixed modelsAntony M. Overstall, Jonathan J. Forster. csda, 54(12):3269-3288, 2010. [doi]

2008

Bayesian model determination for multivariate ordinal and binary dataEmily L. Webb, Jonathan J. Forster. csda, 52(5):2632-2649, 2008. [doi]

2007

Markov chain Monte Carlo exact inference for social networksJohn W. McDonald, Peter W. F. Smith, Jonathan J. Forster. socnet, 29(1):127-136, 2007. [doi]

2003

Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression modelsJonathan J. Forster, John W. McDonald, Peter W. F. Smith. sac, 13(2):169-177, 2003. [doi]

2002

On Bayesian model and variable selection using MCMCPetros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras. sac, 12(1):27-36, 2002. [doi]

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