Steve Brooks

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Ruth KingThomas Bayes' Chair of Statistics, University of EdinburghVerified email at ed.ac.uk
B.J.T.MorganProfessor of Applied Statistics, University of KentVerified email at kent.ac.uk
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Matt J KeelingUniversity of WarwickVerified email at warwick.ac.uk
Rob DeardonUniversity of CalgaryVerified email at ucalgary.ca
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Bryan GrenfellKathryn Briger and Sarah Fenton Professor of Ecology and Public Affairs, Princeton UniversityVerified email at princeton.edu
Xiao-Li MengHarvard UniversityVerified email at stat.harvard.edu
Michael TildesleySchool of Life Sciences and Mathematics Institute, University of WarwickVerified email at warwick.ac.uk
Galin JonesSchool of Statistics, University of MinnesotaVerified email at umn.edu
Paolo GiudiciProfessor of Statistics, University of PaviaVerified email at unipv.it
Olivier GimenezSenior scientist at CNRSVerified email at cefe.cnrs.fr
Yanan FanSenior Principal Research Scientist, Data61, CSIRO; Professor of Statistics (adjunct) University ofVerified email at csiro.au
Ricardo S EhlersUniversidade de Sao PauloVerified email at icmc.usp.br
Tim CoulsonUniversity of OxfordVerified email at biology.ox.ac.uk
Simon C BarryCSIROVerified email at csiro.au
Prof C.A. GilliganDepartment of Plant Sciences, University of CambridgeVerified email at cam.ac.uk
Ioanna ManolopoulouUniversity College LondonVerified email at ucl.ac.uk
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
Simon BonnerUniversity of Western OntarioVerified email at uwo.ca

Steve Brooks

Select Statistics

Verified email at select-statistics.co.uk - Homepage

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
General methods for monitoring convergence of iterative simulations SP Brooks, A Gelman Journal of computational and graphical statistics 7 (4), 434-455, 1998	7199	1998
Handbook of Markov Chain Monte Carlo: Methods and Applications S Brooks, A Gelman, G Jones, XL Meng Chapman & Hall, 2010	2639*	2010
Markov chain Monte Carlo method and its application S Brooks Journal of the royal statistical society: series D (the Statistician) 47 (1 …, 1998	1103	1998
Optimization using simulated annealing SP Brooks, BJT Morgan Journal of the Royal Statistical Society: Series D (The Statistician) 44 (2 …, 1995	464	1995
Convergence assessment techniques for Markov chain Monte Carlo SP Brooks, GO Roberts Statistics and Computing 8, 319-335, 1998	462	1998
Assessing convergence of Markov chain Monte Carlo algorithms SP Brooks, GO Roberts Statistics and Computing 8 (4), 319-335, 1998	443	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	410	2003
Bayesian analysis for population ecology R King, B Morgan, O Gimenez, S Brooks Chapman & Hall/CRC, 2009	313	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	276	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	190	2004
Bayesian animal survival estimation SP Brooks, EA Catchpole, BJT Morgan Statistical Science 15 (4), 357-376, 2000	175	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	164	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	139	2010
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	139	2010
Classical model selection via simulated annealing SP Brooks, N Friel, R King Journal of the royal statistical society: Series b (statistical methodology …, 2003	116	2003
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	114	2009
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	111	2000
Bayesian computation: a statistical revolution SP Brooks Philosophical Transactions of the Royal Society of London. Series A …, 2003	105	2003
Accuracy of models for the 2001 foot-and-mouth epidemic MJ Tildesley, R Deardon, NJ Savill, PR Bessell, SP Brooks, ... Proceedings of the Royal Society B: Biological Sciences 275 (1641), 1459-1468, 2008	97	2008
On the Bayesian analysis of population size R King, SP Brooks Biometrika 88 (2), 317-336, 2001	96	2001

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