Kendall's advanced theory of statistics: Bayesian inference A O'Hagan Arnold, 2004 | 2116* | 2004 |
On Bayesian model and variable selection using MCMC P Dellaportas, JJ Forster, I Ntzoufras Statistics and computing 12 (1), 27-36, 2002 | 615 | 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 | 273 | 2017 |
Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models P Dellaportas, JJ Forster Biometrika 86 (3), 615-633, 1999 | 240 | 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 | 159 | 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 | 121 | 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 | 119 | 2003 |
Bayesian variable selection using the Gibbs sampler P Dellaportas, JJ Forster, I Ntzoufras Biostatistics-Basel- 5, 273-286, 2000 | 109 | 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 | 106 | 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 | 94 | 1996 |
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 | 70 | 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 | 70 | 1993 |
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 | 57 | 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 | 55 | 2001 |
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 | 51 | 2019 |
Evaluation of existing migration forecasting methods and models G Disney, A Wiśniowski, JJ Forster, PWF Smith, J Bijak Report for the Migration Advisory Committee: Commissioned research. ESRC …, 2015 | 50 | 2015 |
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 | 49 | 2015 |
Default Bayesian model determination methods for generalised linear mixed models AM Overstall, JJ Forster Computational Statistics & Data Analysis 54 (12), 3269-3288, 2010 | 49 | 2010 |
Bayesian model determination for multivariate ordinal and binary data EL Webb, JJ Forster Computational statistics & data analysis 52 (5), 2632-2649, 2008 | 45 | 2008 |
Bayesian inference for Poisson and multinomial log-linear models JJ Forster Statistical Methodology 7 (3), 210-224, 2010 | 39 | 2010 |