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
Cédric BeaulacProfessor of Statistics, Université du Québec à MontréalVerified email at uqam.ca
Yves AtchadeProfessor of StatisticsVerified email at bu.edu
Panayiotis TsaparasAssociate Professor, Department of Computer Science and Engineering, University of Ioannina, GreeceVerified email at cs.uoi.gr
Michael EvansProfessor of Statistics, University of TorontoVerified email at utstat.utoronto.ca
Albert YoonProfessor of LawVerified email at utoronto.ca
Jun YangUniversity of CopenhagenVerified email at math.ku.dk
Krzysztof LatuszynskiUniversity of Warwick, Department of StatisticsVerified email at warwick.ac.uk
Ye SunAdvanced Analytics, NovartisVerified email at novartis.com
Patrick E BrownUniversity of TorontoVerified email at utoronto.ca
Mary Kathryn CowlesProfessor emerita of Statistics, The University of IowaVerified email at uiowa.edu
Martin J. OsborneProfessor Emeritus 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
randal douctelecom sudparisVerified email at telecom-sudparis.eu
Matthew TurnerProfessor of Economics, Brown UniversityVerified email at brown.edu

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	1568	2001
Examples of adaptive MCMC GO Roberts, JS Rosenthal Journal of computational and graphical statistics 18 (2), 349-367, 2009	1315	2009
General state space Markov chains and MCMC algorithms GO Roberts, JS Rosenthal	1048	2004
Optimal scaling of discrete approximations to Langevin diffusions GO Roberts, JS Rosenthal Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998	856	1998
Minorization conditions and convergence rates for Markov chain Monte Carlo JS Rosenthal Journal of the American Statistical Association 90 (430), 558-566, 1995	645	1995
Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms GO Roberts, JS Rosenthal Journal of applied probability 44 (2), 458-475, 2007	562	2007
On adaptive markov chain monte carlo algorithms YF Atchadé, JS Rosenthal Bernoulli 11 (5), 815-828, 2005	476	2005
First look at rigorous probability theory, A JS Rosenthal World Scientific Publishing Company, 2006	463	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	430	2005
Geometric ergodicity and hybrid Markov chains G Roberts, J Rosenthal	418	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	391	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	391	2001
Optimal proposal distributions and adaptive MCMC JS Rosenthal Handbook of Markov Chain Monte Carlo 4 (10.1201), 2011	383	2011
Probability and statistics: The science of uncertainty MJ Evans, JS Rosenthal Macmillan, 2010	317*	2010
Convergence rates for Markov chains JS Rosenthal Siam Review 37 (3), 387-405, 1995	280	1995
On the efficiency of pseudo-marginal random walk Metropolis algorithms C Sherlock, AH Thiery, GO Roberts, JS Rosenthal	227	2015
Parallel computing and Monte Carlo algorithms JS Rosenthal Far east journal of theoretical statistics 4 (2), 207-236, 2000	205	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	200	1998
Convergence of slice sampler Markov chains GO Roberts, JS Rosenthal Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999	181	1999
Active learning strategies in advanced mathematics classes JS Rosenthal Studies in Higher Education 20 (2), 223-228, 1995	166	1995

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