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JEFFREY S. ROSENTHAL
Author Info
Open Visualization
Name
Affiliation
Papers
JEFFREY S. ROSENTHAL
Univ Toronto, Dept Stat Sci, Toronto, ON, Canada
25
Collaborators
Citations
PageRank
34
357
43.06
Referers
Referees
References
797
146
85
Search Limit
100
797
Publications (25 rows)
Collaborators (34 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
SKEW BROWNIAN MOTION AND COMPLEXITY OF THE ALPS ALGORITHM
0
0.34
2022
Convergence rate bounds for iterative random functions using one-shot coupling
0
0.34
2022
Distinguishing luck from skill through statistical simulation: a case study
0
0.34
2022
Jump Markov chains and rejection-free Metropolis algorithms
0
0.34
2021
Weight-preserving simulated tempering
0
0.34
2020
An Evaluation Of Machine Learning Techniques To Predict The Outcome Of Children Treated For Hodgkin-Lymphoma On The Ahod0031 Trial
0
0.34
2020
BEST: a decision tree algorithm that handles missing values
0
0.34
2020
Stochastic simulation of sequential game-theory voting models.
0
0.34
2018
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis.
0
0.34
2018
Handling Missing Values using Decision Trees with Branch-Exclusive Splits.
0
0.34
2018
Predicting University Students' Academic Success and Choice of Major using Random Forests.
0
0.34
2018
Automatically tuned general-purpose MCMC via new adaptive diagnostics
2
0.44
2017
Complexity Bounds For Markov Chain Monte Carlo Algorithms Via Diffusion Limits
0
0.34
2016
The Containment Condition And Adapfail Algorithms
1
0.36
2014
Decrypting classical cipher text using Markov chain Monte Carlo
4
0.56
2012
Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo
12
1.27
2011
AMCMC: An R interface for adaptive MCMC
6
0.99
2007
Link analysis ranking: algorithms, theory, and experiments
137
8.87
2005
Achieving limiting distributions for Markov chains using back buttons
0
0.34
2004
A case study in the meta-reasoning procedure ND
1
0.39
2003
Finding authorities and hubs from link structures on the World Wide Web
111
10.36
2001
Extension of Fill's perfect rejection sampling algorithm to general chains
14
1.15
2000
A simulation approach to convergence rates for Markov chain Monte Carlo algorithms
5
1.67
1998
Analysis of the Gibbs sampler for a model related to James-Stein estimators
4
1.34
1996
Convergence rates for Markov chains
60
11.28
1995
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