Jeffrey S. Rosenthal

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Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Radu CraiuProfessor of Statistics, 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
Panayiotis TsaparasAssociate Professor, Department of Computer Science and Engineering, University of Ioannina, GreeceVerified email at cs.uoi.gr
Cédric BeaulacUniversité du Québec à MontréalVerified email at uqam.ca
Michael EvansProfessor of Statistics, University of TorontoVerified email at utstat.utoronto.ca
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
Ye SunAdvanced Analytics, NovartisVerified email at novartis.com
Martin J. OsborneProfessor of Economics, University of TorontoVerified email at utoronto.ca
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Galin JonesSchool of Statistics, University of MinnesotaVerified email at umn.edu
Patrick E BrownUniversity of TorontoVerified email at utoronto.ca
randal douctelecom sudparisVerified email at telecom-sudparis.eu
Jun YangUniversity of OxfordVerified email at stats.ox.ac.uk
Matthew TurnerProfessor of Economics, Brown UniversityVerified email at brown.edu
Chris SherlockLancaster UniversityVerified email at lancaster.ac.uk
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)Verified email at nus.edu.sg
Sylvia RichardsonDirector of MRC Biostatistics Unit and Professor of Biostatistics, University of CambridgeVerified email at mrc-bsu.cam.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
Optimal scaling for various Metropolis-Hastings algorithms GO Roberts, JS Rosenthal Statistical science 16 (4), 351-367, 2001	1396	2001
Examples of adaptive MCMC GO Roberts, JS Rosenthal Journal of computational and graphical statistics 18 (2), 349-367, 2009	1165	2009
General state space Markov chains and MCMC algorithms GO Roberts, JS Rosenthal	916	2004
Optimal scaling of discrete approximations to Langevin diffusions GO Roberts, JS Rosenthal Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998	700	1998
Minorization conditions and convergence rates for Markov chain Monte Carlo JS Rosenthal Journal of the American Statistical Association 90 (430), 558-566, 1995	604	1995
Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms GO Roberts, JS Rosenthal Journal of applied probability 44 (2), 458-475, 2007	510	2007
On adaptive markov chain monte carlo algorithms YF Atchadé, JS Rosenthal Bernoulli 11 (5), 815-828, 2005	438	2005
First Look At Rigorous Probability Theory, A JS Rosenthal World Scientific Publishing Company, 2006	410	2006
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	410	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	390	2001
Geometric ergodicity and hybrid Markov chains G Roberts, J Rosenthal	388	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	369	2001
Optimal proposal distributions and adaptive MCMC JS Rosenthal Handbook of Markov Chain Monte Carlo 4 (10.1201), 2011	330	2011
Convergence rates for Markov chains JS Rosenthal Siam Review 37 (3), 387-405, 1995	257	1995
Probability and statistics: The science of uncertainty MJ Evans, JS Rosenthal Macmillan, 2010	244*	2010
On the efficiency of pseudo-marginal random walk Metropolis algorithms C Sherlock, AH Thiery, GO Roberts, JS Rosenthal	192	2015
Parallel computing and Monte Carlo algorithms JS Rosenthal Far east journal of theoretical statistics 4 (2), 207-236, 2000	189	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	186	1998
Convergence of slice sampler Markov chains GO Roberts, JS Rosenthal Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999	175	1999
Learn from thy neighbor: Parallel-chain and regional adaptive MCMC RV Craiu, J Rosenthal, C Yang Journal of the American Statistical Association 104 (488), 1454-1466, 2009	151	2009

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