| Optimal scaling for various Metropolis-Hastings algorithms GO Roberts, JS Rosenthal Statistical science 16 (4), 351-367, 2001 | 1720 | 2001 |
| Examples of adaptive MCMC GO Roberts, JS Rosenthal Journal of computational and graphical statistics 18 (2), 349-367, 2009 | 1433 | 2009 |
| General state space Markov chains and MCMC algorithms GO Roberts, JS Rosenthal | 1158 | 2004 |
| Optimal scaling of discrete approximations to Langevin diffusions GO Roberts, JS Rosenthal Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998 | 973 | 1998 |
| Minorization conditions and convergence rates for Markov chain Monte Carlo JS Rosenthal Journal of the American Statistical Association 90 (430), 558-566, 1995 | 688 | 1995 |
| Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms GO Roberts, JS Rosenthal Journal of applied probability 44 (2), 458-475, 2007 | 609 | 2007 |
| First look at rigorous probability theory, A JS Rosenthal World Scientific Publishing Company, 2006 | 524 | 2006 |
| On adaptive markov chain monte carlo algorithms YF Atchadé, JS Rosenthal Bernoulli 11 (5), 815-828, 2005 | 517 | 2005 |
| Link analysis ranking: algorithms, theory, and experiments A Borodin, GO Roberts, JS Rosenthal, P Tsaparas ACM Transactions on Internet Technology (TOIT) 5 (1), 231-297, 2005 | 447 | 2005 |
| Geometric ergodicity and hybrid Markov chains G Roberts, J Rosenthal | 443 | 1997 |
| Optimal proposal distributions and adaptive MCMC JS Rosenthal Handbook of Markov Chain Monte Carlo 4 (10.1201), 93-111, 2011 | 426 | 2011 |
| Finding generators for Markov chains via empirical transition matrices, with applications to credit ratings RB Israel, JS Rosenthal, JZ Wei Mathematical finance 11 (2), 245-265, 2001 | 408 | 2001 |
| Finding authorities and hubs from link structures on the world wide web A Borodin, GO Roberts, JS Rosenthal, P Tsaparas Proceedings of the 10th international conference on World Wide Web, 415-429, 2001 | 396 | 2001 |
| Probability and statistics: The science of uncertainty MJ Evans, JS Rosenthal Macmillan, 2010 | 374* | 2010 |
| Convergence rates for Markov chains JS Rosenthal Siam Review 37 (3), 387-405, 1995 | 302 | 1995 |
| On the efficiency of pseudo-marginal random walk Metropolis algorithms C Sherlock, AH Thiery, GO Roberts, JS Rosenthal The Annals of Statistics, 238-275, 2015 | 242 | 2015 |
| Parallel computing and Monte Carlo algorithms JS Rosenthal Far east journal of theoretical statistics 4 (2), 207-236, 2000 | 225 | 2000 |
| Markov-chain Monte Carlo: some practical implications of theoretical results GO Roberts, JS Rosenthal The Canadian Journal of Statistics/La Revue Canadienne de Statistique, 5-20, 1998 | 208 | 1998 |
| Predicting university students’ academic success and major using random forests C Beaulac, JS Rosenthal Research in Higher Education 60 (7), 1048-1064, 2019 | 207 | 2019 |
| Convergence of slice sampler Markov chains GO Roberts, JS Rosenthal Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999 | 194 | 1999 |
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
