General methods for monitoring convergence of iterative simulations SP Brooks, A Gelman Journal of computational and graphical statistics 7 (4), 434-455, 1998 | 7847 | 1998 |
Handbook of Markov Chain Monte Carlo: Methods and Applications S Brooks, A Gelman, G Jones, XL Meng Chapman & Hall, 2010 | 3371* | 2010 |
Markov chain Monte Carlo method and its application S Brooks Journal of the royal statistical society: series D (the Statistician) 47 (1 …, 1998 | 1204 | 1998 |
Optimization using simulated annealing SP Brooks, BJT Morgan Journal of the Royal Statistical Society Series D: The Statistician 44 (2 …, 1995 | 492 | 1995 |
Convergence assessment techniques for Markov chain Monte Carlo SP Brooks, GO Roberts Statistics and Computing 8, 319-335, 1998 | 478 | 1998 |
Assessing convergence of Markov chain Monte Carlo algorithms SP Brooks, GO Roberts Statistics and Computing 8 (4), 319-335, 1998 | 467 | 1998 |
Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions SP Brooks, P Giudici, GO Roberts Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 419 | 2003 |
Bayesian analysis for population ecology R King, B Morgan, O Gimenez, S Brooks Chapman & Hall/CRC, 2009 | 341 | 2009 |
Optimal reactive vaccination strategies for a foot-and-mouth outbreak in the UK MJ Tildesley, NJ Savill, DJ Shaw, R Deardon, SP Brooks, ... Nature 440 (7080), 83-86, 2006 | 285 | 2006 |
A Bayesian approach to combining animal abundance and demographic data SP Brooks, R King, BJT Morgan Animal biodiversity and conservation 27 (1), 515-529, 2004 | 202 | 2004 |
Bayesian animal survival estimation SP Brooks, EA Catchpole, BJT Morgan Statistical Science 15 (4), 357-376, 2000 | 184 | 2000 |
Discussion on the paper by Spiegelhalter, Best, Carlin, and van de Linde (2002) SP Brooks Journal of the Royal Statistical Society Series B 64 (3), 616-618, 2002 | 172 | 2002 |
Inference for individual-level models of infectious diseases in large populations R Deardon, SP Brooks, BT Grenfell, MJ Keeling, MJ Tildesley, NJ Savill, ... Statistica Sinica 20 (1), 239, 2010 | 154 | 2010 |
WinBUGS for population ecologists: Bayesian modeling using Markov Chain Monte Carlo methods O Gimenez, SJ Bonner, R King, RA Parker, SP Brooks, LE Jamieson, ... Modeling demographic processes in marked populations, 883-915, 2009 | 120 | 2009 |
Classical model selection via simulated annealing SP Brooks, N Friel, R King Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 120 | 2003 |
Handbook of Markov chain Monte Carlo. Handbooks of modern statistical methods S Brooks, A Gelman, GL Jones, XL Meng Chapman & Hall/CRC, 2011 | 116 | 2011 |
Markov chain Monte Carlo convergence assessment via two-way analysis of variance SP Brooks, P Giudici Journal of Computational and Graphical Statistics 9 (2), 266-285, 2000 | 113 | 2000 |
Bayesian computation: a statistical revolution SP Brooks Philosophical Transactions of the Royal Society of London. Series A …, 2003 | 109 | 2003 |
Weak identifiability in models for mark-recapture-recovery data O Gimenez, BJT Morgan, SP Brooks Modeling demographic processes in marked populations, 1055-1067, 2009 | 104 | 2009 |
On the Bayesian analysis of population size R King, SP Brooks Biometrika 88 (2), 317-336, 2001 | 103 | 2001 |