| Kendall's advanced theory of statistics, volume 2B: Bayesian inference A O'Hagan, JJ Forster Arnold, 2004 | 2134* | 2004 |
| On Bayesian model and variable selection using MCMC P Dellaportas, JJ Forster, I Ntzoufras Statistics and computing 12 (1), 27-36, 2002 | 625 | 2002 |
| A tutorial on bridge sampling QF Gronau, A Sarafoglou, D Matzke, A Ly, U Boehm, M Marsman, ... Journal of mathematical psychology 81, 80-97, 2017 | 302 | 2017 |
| Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models P Dellaportas, JJ Forster Biometrika 86 (3), 615-633, 1999 | 242 | 1999 |
| Integrated modeling of European migration J Raymer, A Wiśniowski, JJ Forster, PWF Smith, J Bijak Journal of the American Statistical Association 108 (503), 801-819, 2013 | 169 | 2013 |
| Bayesian population forecasting: extending the Lee-Carter method A Wiśniowski, PWF Smith, J Bijak, J Raymer, JJ Forster Demography 52 (3), 1035-1059, 2015 | 130 | 2015 |
| Bayesian variable and link determination for generalised linear models I Ntzoufras, P Dellaportas, JJ Forster Journal of statistical planning and inference 111 (1-2), 165-180, 2003 | 120 | 2003 |
| Bayesian variable selection using the Gibbs sampler P Dellaportas, JJ Forster, I Ntzoufras Biostatistics-Basel- 5, 273-286, 2000 | 111 | 2000 |
| Model‐based inference for categorical survey data subject to non‐ignorable non‐response JJ Forster, PWF Smith Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998 | 107 | 1998 |
| Monte Carlo exact conditional tests for log-linear and logistic models JJ Forster, JW McDonald, PWF Smith Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1996 | 95 | 1996 |
| DISCUSSION ON THE MEETING ON THE GIBBS SAMPLER AND OTHER MARKOV CHAIN-MONTE CARLO METHODS P Clifford, C Jennison, J Wakefield, D Phillips, A Frigessi, AJ Gray, ... J ROY STAT SOC B MET 55 (1), 53-102, 1993 | 75 | 1993 |
| Monte Carlo exact tests for square contingency tables PWF Smith, JJ Forster, JW McDonald Journal of the Royal Statistical Society Series A: Statistics in Society 159 …, 1996 | 71 | 1996 |
| Assessing time series models for forecasting international migration: Lessons from the United Kingdom J Bijak, G Disney, AM Findlay, JJ Forster, PWF Smith, A Wiśniowski Journal of Forecasting 38 (5), 470-487, 2019 | 68 | 2019 |
| Evaluation of existing migration forecasting methods and models: Report examining and assessing the various analytical approaches to migration forecasting. G Disney, A Wiśniowski, JJ Forster, PWF Smith, J Bijak ESRC Centre for Population Change, University of Southampton, 2015 | 61 | 2015 |
| Stochastic search variable selection for log-linear models I Ntzoufras, JJ Forster, P Dellaportas Journal of Statistical Computation and Simulation 68 (1), 23-37, 2000 | 59 | 2000 |
| Estimation of wind speed distribution using Markov chain Monte Carlo techniques WK Pang, JJ Forster, MD Troutt Journal of Applied Meteorology and Climatology 40 (8), 1476-1484, 2001 | 57 | 2001 |
| Default Bayesian model determination methods for generalised linear mixed models AM Overstall, JJ Forster Computational Statistics & Data Analysis 54 (12), 3269-3288, 2010 | 53 | 2010 |
| Telomere length predicts progression and overall survival in chronic lymphocytic leukemia: data from the UK LRF CLL4 trial JC Strefford, L Kadalayil, J Forster, MJJ Rose-Zerilli, A Parker, TT Lin, ... Leukemia 29 (12), 2411-2414, 2015 | 52 | 2015 |
| Bayesian model determination for multivariate ordinal and binary data EL Webb, JJ Forster Computational statistics & data analysis 52 (5), 2632-2649, 2008 | 48 | 2008 |
| Utilising expert opinion to improve the measurement of international migration in Europe A Wiśniowski, J Bijak, S Christiansen, JJ Forster, N Keilman, J Raymer, ... Journal of Official Statistics 29 (4), 583-607, 2013 | 44 | 2013 |
