Jeffrey S. Rosenthal

35 papers A* 1Journal 34
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficiency of reversible MCMC methods: elementary derivations and applications to composite methods.
J. Appl. Probab.
Radford M. Neal, Jeffrey S. Rosenthal
2025 J jnl
Sampling via Rejection-Free Partial Neighbor Search.
Commun. Stat. Simul. Comput.
Sigeng Chen, Jeffrey S. Rosenthal, Aki Dote, Hirotaka Tamura, Ali Sheikholeslami
2025 J jnl
Weak convergence of adaptive Markov chain Monte Carlo.
J. Appl. Probab.
Austin Brown, Jeffrey S. Rosenthal
2024 J jnl
Sampling by divergence minimization.
Commun. Stat. Simul. Comput.
Ameer Dharamshi, Vivian Ngo, Jeffrey S. Rosenthal
2023 J jnl
Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics.
SN Comput. Sci.
Cédric Beaulac, Jeffrey S. Rosenthal
2023 J jnl
Optimization via Rejection-Free Partial Neighbor Search.
Stat. Comput.
Sigeng Chen, Jeffrey S. Rosenthal, Aki Dote, Hirotaka Tamura, Ali Sheikholeslami
2022 J jnl
Convergence rate bounds for iterative random functions using one-shot coupling.
Stat. Comput.
Sabrina Sixta, Jeffrey S. Rosenthal
2022 J jnl
Distinguishing luck from skill through statistical simulation: a case study.
Commun. Stat. Simul. Comput.
Zhaoyu Guo, Irwin Khuu, Kevin Zhu, Jeffrey S. Rosenthal, Frederic Paik Schoenberg
2022 J jnl
Skew brownian motion and complexity of the alps algorithm.
J. Appl. Probab.
Gareth O. Roberts, Jeffrey S. Rosenthal, Nicholas G. Tawn
2021 J jnl
Jump Markov chains and rejection-free Metropolis algorithms.
Comput. Stat.
Jeffrey S. Rosenthal, Aki Dote, Keivan Dabiri, Hirotaka Tamura, Sigeng Chen, Ali Sheikholeslami
2020 J jnl
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial.
Appl. Artif. Intell.
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne L. Wolden, David Hodgson
2020 J jnl
Analysis of a high-resolution hand-written digits data set with writer characteristics.
CoRR
Cédric Beaulac, Jeffrey S. Rosenthal
2020 J jnl
BEST: a decision tree algorithm that handles missing values.
Comput. Stat.
Cédric Beaulac, Jeffrey S. Rosenthal
2020 J jnl
Weight-preserving simulated tempering.
Stat. Comput.
Nicholas G. Tawn, Gareth O. Roberts, Jeffrey S. Rosenthal
2018 J jnl
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis.
CoRR
Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson
2018 J jnl
Handling Missing Values using Decision Trees with Branch-Exclusive Splits.
CoRR
Cédric Beaulac, Jeffrey S. Rosenthal
2018 J jnl
Predicting University Students' Academic Success and Choice of Major using Random Forests.
CoRR
Cédric Beaulac, Jeffrey S. Rosenthal
2018 J jnl
Stochastic simulation of sequential game-theory voting models.
Commun. Stat. Simul. Comput.
Jeffrey S. Rosenthal
2017 J jnl
Automatically tuned general-purpose MCMC via new adaptive diagnostics.
Comput. Stat.
Jinyoung Yang, Jeffrey S. Rosenthal
2016 J jnl
Complexity bounds for Markov chain Monte Carlo algorithms via diffusion limits.
J. Appl. Probab.
Gareth O. Roberts, Jeffrey S. Rosenthal
2014 J jnl
The Containment Condition and Adapfail Algorithms.
J. Appl. Probab.
Krzysztof Latuszynski, Jeffrey S. Rosenthal
2012 J jnl
Decrypting classical cipher text using Markov chain Monte Carlo.
Stat. Comput.
Jian Chen, Jeffrey S. Rosenthal
2011 J jnl
Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo.
Stat. Comput.
Yves F. Atchadé, Gareth O. Roberts, Jeffrey S. Rosenthal
2007 J jnl
AMCMC: An R interface for adaptive MCMC.
Comput. Stat. Data Anal.
Jeffrey S. Rosenthal
2005 J jnl
Link analysis ranking: algorithms, theory, and experiments.
ACM Trans. Internet Techn.
Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Panayiotis Tsaparas
2004 J jnl
Achieving limiting distributions for Markov chains using back buttons.
Stat. Comput.
Andrey Feuerverger, Jeffrey S. Rosenthal
2003 J jnl
A case study in the meta-reasoning procedure ND.
J. Exp. Theor. Artif. Intell.
James J. Lu, Jeffrey S. Rosenthal, Andrew E. Shaffer
2002 J jnl
Introduction to mathematical systems theory. a behavioral approach [Book Review].
IEEE Trans. Autom. Control.
Jeffrey S. Rosenthal
2001 A* conf
Finding authorities and hubs from link structures on the World Wide Web.
WWW
Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Panayiotis Tsaparas
2000 J jnl
Efficient use of exact samples.
Stat. Comput.
Duncan J. Murdoch, Jeffrey S. Rosenthal
2000 J jnl
Extension of Fill's perfect rejection sampling algorithm to general chains.
Random Struct. Algorithms
James Allen Fill, Motoya Machida, Duncan J. Murdoch, Jeffrey S. Rosenthal
1998 J jnl
A simulation approach to convergence rates for Markov chain Monte Carlo algorithms.
Stat. Comput.
Mary Kathryn Cowles, Jeffrey S. Rosenthal
1996 J jnl
Analysis of the Gibbs sampler for a model related to James-Stein estimators.
Stat. Comput.
Jeffrey S. Rosenthal
1995 J jnl
Convergence Rates for Markov Chains.
SIAM Rev.
Jeffrey S. Rosenthal
1993 J jnl
Linear-Algebraic Results Associated with Antiferromagnetic Heisenberg Chains.
SIAM J. Matrix Anal. Appl.
Man-Duen Choi, Jeffrey S. Rosenthal, Peter Rosenthal