Follow
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
Optimal scaling for various Metropolis-Hastings algorithms
GO Roberts, JS Rosenthal
Statistical science 16 (4), 351-367, 2001
15362001
Examples of adaptive MCMC
GO Roberts, JS Rosenthal
Journal of computational and graphical statistics 18 (2), 349-367, 2009
12892009
General state space Markov chains and MCMC algorithms
GO Roberts, JS Rosenthal
10322004
Optimal scaling of discrete approximations to Langevin diffusions
GO Roberts, JS Rosenthal
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998
8401998
Minorization conditions and convergence rates for Markov chain Monte Carlo
JS Rosenthal
Journal of the American Statistical Association 90 (430), 558-566, 1995
6371995
Coupling and ergodicity of adaptive Markov chain Monte Carlo algorithms
GO Roberts, JS Rosenthal
Journal of applied probability 44 (2), 458-475, 2007
5572007
On adaptive markov chain monte carlo algorithms
YF Atchadé, JS Rosenthal
Bernoulli 11 (5), 815-828, 2005
4702005
First Look At Rigorous Probability Theory, A
JS Rosenthal
World Scientific Publishing Company, 2006
4562006
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
4242005
Geometric ergodicity and hybrid Markov chains
G Roberts, J Rosenthal
4071997
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
3892001
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
3882001
Optimal proposal distributions and adaptive MCMC
JS Rosenthal
Handbook of Markov Chain Monte Carlo 4 (10.1201), 2011
3742011
Probability and statistics: The science of uncertainty
MJ Evans, JS Rosenthal
Macmillan, 2010
305*2010
Convergence rates for Markov chains
JS Rosenthal
Siam Review 37 (3), 387-405, 1995
2781995
On the efficiency of pseudo-marginal random walk Metropolis algorithms
C Sherlock, AH Thiery, GO Roberts, JS Rosenthal
2222015
Parallel computing and Monte Carlo algorithms
JS Rosenthal
Far east journal of theoretical statistics 4 (2), 207-236, 2000
2052000
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
1981998
Convergence of slice sampler Markov chains
GO Roberts, JS Rosenthal
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1999
1801999
Active learning strategies in advanced mathematics classes
JS Rosenthal
Studies in Higher Education 20 (2), 223-228, 1995
1621995
The system can't perform the operation now. Try again later.
Articles 1–20