Jeffrey S. Rosenthal
Scholar

Jeffrey S. Rosenthal

Google Scholar ID: X7Gq9AcAAAAJ
Professor of Statistics, University of Toronto
Markov chain Monte CarloMCMCprobability theorystochastic processesapplications of statistics
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Citations & Impact
All-time
Citations
17,036
 
H-index
57
 
i10-index
124
 
Publications
20
 
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0
 
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Publications
3 items
Adaptive Importance Tempering: A flexible approach to improve computational efficiency of Metropolis Coupled Markov Chain Monte Carlo algorithms on binary spaces
2026
Cited
0
Exploring the generalizability of the optimal 0.234 acceptance rate in random-walk Metropolis and parallel tempering algorithms
2024
Cited
0
Estimating MCMC convergence rates using common random number simulation
2023
Cited
1
Resume (English only)
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Co-authors: 0 (list not available)