Jeffrey S. Rosenthal

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Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Galin JonesSchool of Statistics, University of MinnesotaVerified email at umn.edu
Steve BrooksSelect StatisticsVerified email at select-statistics.co.uk
Radu CraiuProfessor of Statistical Sciences, University of TorontoVerified email at utstat.toronto.edu
Thierry DuchesneProfessor of Statistics, Université LavalVerified email at mat.ulaval.ca
Allan BorodinProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
David M. DayProfessor of Psychology, Ryerson UniversityVerified email at psych.ryerson.ca
Aguemon Yves AtchadeProfessor of Statistics, Boston UniversityVerified email at bu.edu
Panayiotis TsaparasAssociate Professor, Department of Computer Science and Engineering, University of Ioannina, GreeceVerified email at cs.uoi.gr
Matthew TurnerProfessor of Economics, Brown UniversityVerified email at brown.edu
Michael EvansProfessor of Statistics, University of TorontoVerified email at utstat.utoronto.ca
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
Martin J. OsborneProfessor of Economics, University of TorontoVerified email at utoronto.ca
Ye SunAdvanced Analytics, NovartisVerified email at novartis.com
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
randal douctelecom sudparisVerified email at telecom-sudparis.eu
Cédric BeaulacUniversity of TorontoVerified email at utstat.toronto.edu
Sylvia RichardsonDirector of MRC Biostatistics Unit and Professor of Biostatistics, University of CambridgeVerified email at mrc-bsu.cam.ac.uk
Reihaneh EntezariUniversity of Toronto (PhD’18), Bosch Center for Artificial IntelligenceVerified email at utstat.utoronto.ca
Chris SherlockLancaster UniversityVerified email at lancaster.ac.uk

Jeffrey S. Rosenthal

Professor of Statistics, University of Toronto

Verified email at math.toronto.edu - Homepage

Markov chain Monte Carlo MCMC probability theory stochastic processes applications of statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Handbook of markov chain monte carlo S Brooks, A Gelman, G Jones, XL Meng CRC press, 2011	1875	2011
Optimal scaling for various Metropolis-Hastings algorithms GO Roberts, JS Rosenthal Statistical science 16 (4), 351-367, 2001	1149	2001
Examples of adaptive MCMC GO Roberts, JS Rosenthal Journal of Computational and Graphical Statistics 18 (2), 349-367, 2009	948	2009
General state space Markov chains and MCMC algorithms GO Roberts, JS Rosenthal Probability surveys 1, 20-71, 2004	745	2004
Optimal scaling of discrete approximations to Langevin diffusions GO Roberts, JS Rosenthal Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998	554	1998
Minorization conditions and convergence rates for Markov chain Monte Carlo JS Rosenthal Journal of the American Statistical Association 90 (430), 558-566, 1995	528	1995
Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms GO Roberts, JS Rosenthal Journal of applied probability 44 (2), 458-475, 2007	446	2007
On adaptive markov chain monte carlo algorithms YF Atchadé, JS Rosenthal Bernoulli 11 (5), 815-828, 2005	384	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	383	2005
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	370	2001
First Look At Rigorous Probability Theory, A JS Rosenthal World Scientific Publishing Company, 2006	343	2006
Geometric ergodicity and hybrid Markov chains G Roberts, J Rosenthal Electronic Communications in Probability 2, 13-25, 1997	326	1997
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	325	2001
Optimal proposal distributions and adaptive MCMC JS Rosenthal Handbook of Markov Chain Monte Carlo 4 (10.1201), 2011	254	2011
Convergence rates for Markov chains JS Rosenthal Siam Review 37 (3), 387-405, 1995	239	1995
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	178	1998
Parallel computing and Monte Carlo algorithms JS Rosenthal Far east journal of theoretical statistics 4 (2), 207-236, 2000	161	2000
On the efficiency of pseudo-marginal random walk Metropolis algorithms C Sherlock, AH Thiery, GO Roberts, JS Rosenthal Annals of Statistics 43 (1), 238-275, 2015	157	2015
Probability and statistics: The science of uncertainty MJ Evans, JS Rosenthal Macmillan, 2010	157*	2010
Convergence of slice sampler Markov chains GO Roberts, JS Rosenthal Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999	155	1999

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