Jeffrey S. Rosenthal
Jeffrey S. Rosenthal
Professor of Statistics, University of Toronto
Verified email at math.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Handbook of markov chain monte carlo
S Brooks, A Gelman, G Jones, XL Meng
CRC press, 2011
22682011
Optimal scaling for various Metropolis-Hastings algorithms
GO Roberts, JS Rosenthal
Statistical science 16 (4), 351-367, 2001
12662001
Examples of adaptive MCMC
GO Roberts, JS Rosenthal
Journal of computational and graphical statistics 18 (2), 349-367, 2009
10522009
General state space Markov chains and MCMC algorithms
GO Roberts, JS Rosenthal
Probability surveys 1, 20-71, 2004
8142004
Optimal scaling of discrete approximations to Langevin diffusions
GO Roberts, JS Rosenthal
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998
6211998
Minorization conditions and convergence rates for Markov chain Monte Carlo
JS Rosenthal
Journal of the American Statistical Association 90 (430), 558-566, 1995
5681995
Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms
GO Roberts, JS Rosenthal
Journal of applied probability 44 (2), 458-475, 2007
4832007
On adaptive markov chain monte carlo algorithms
YF Atchadé, JS Rosenthal
Bernoulli 11 (5), 815-828, 2005
4082005
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
3952005
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
3792001
First Look At Rigorous Probability Theory, A
JS Rosenthal
World Scientific Publishing Company, 2006
3762006
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
3512001
Geometric ergodicity and hybrid Markov chains
G Roberts, J Rosenthal
Electronic Communications in Probability 2, 13-25, 1997
3511997
Optimal proposal distributions and adaptive MCMC
JS Rosenthal
Handbook of Markov Chain Monte Carlo 4 (10.1201), 2011
2882011
Convergence rates for Markov chains
JS Rosenthal
Siam Review 37 (3), 387-405, 1995
2491995
Probability and statistics: The science of uncertainty
MJ Evans, JS Rosenthal
Macmillan, 2010
200*2010
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
1881998
On the efficiency of pseudo-marginal random walk Metropolis algorithms
C Sherlock, AH Thiery, GO Roberts, JS Rosenthal
The Annals of Statistics 43 (1), 238-275, 2015
1762015
Parallel computing and Monte Carlo algorithms
JS Rosenthal
Far east journal of theoretical statistics 4 (2), 207-236, 2000
1742000
Convergence of slice sampler Markov chains
GO Roberts, JS Rosenthal
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1999
1671999
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