Jeffrey S. Rosenthal

According to our database, Jeffrey S. Rosenthal authored at least 31 papers between 1993 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Optimization via Rejection-Free Partial Neighbor Search.

Sigeng Chen, Jeffrey S. Rosenthal, Aki Dote, Hirotaka Tamura, Ali Sheikholeslami

Stat. Comput., December, 2023

Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics.

Cédric Beaulac, Jeffrey S. Rosenthal

SN Comput. Sci., 2023

2022

Convergence rate bounds for iterative random functions using one-shot coupling.

Sabrina Sixta, Jeffrey S. Rosenthal

Stat. Comput., 2022

Skew brownian motion and complexity of the alps algorithm.

Gareth O. Roberts, Jeffrey S. Rosenthal, Nicholas G. Tawn

J. Appl. Probab., 2022

Distinguishing luck from skill through statistical simulation: a case study.

Zhaoyu Guo, Irwin Khuu, Kevin Zhu, Jeffrey S. Rosenthal, Frederic Paik Schoenberg

Commun. Stat. Simul. Comput., 2022

2021

Jump Markov chains and rejection-free Metropolis algorithms.

Jeffrey S. Rosenthal, Aki Dote, Keivan Dabiri, Hirotaka Tamura, Sigeng Chen, Ali Sheikholeslami

Comput. Stat., 2021

2020

Weight-preserving simulated tempering.

Nicholas G. Tawn, Gareth O. Roberts, Jeffrey S. Rosenthal

Stat. Comput., 2020

BEST: a decision tree algorithm that handles missing values.

Cédric Beaulac, Jeffrey S. Rosenthal

Comput. Stat., 2020

Analysis of a high-resolution hand-written digits data set with writer characteristics.

Cédric Beaulac, Jeffrey S. Rosenthal

CoRR, 2020

An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial.

Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne L. Wolden, David Hodgson

Appl. Artif. Intell., 2020

2018

Stochastic simulation of sequential game-theory voting models.

Jeffrey S. Rosenthal

Commun. Stat. Simul. Comput., 2018

A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis.

Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson

CoRR, 2018

Handling Missing Values using Decision Trees with Branch-Exclusive Splits.

Cédric Beaulac, Jeffrey S. Rosenthal

CoRR, 2018

Predicting University Students' Academic Success and Choice of Major using Random Forests.

Cédric Beaulac, Jeffrey S. Rosenthal

CoRR, 2018

2017

Automatically tuned general-purpose MCMC via new adaptive diagnostics.

Jinyoung Yang, Jeffrey S. Rosenthal

Comput. Stat., 2017

2016

Complexity bounds for Markov chain Monte Carlo algorithms via diffusion limits.

Gareth O. Roberts, Jeffrey S. Rosenthal

J. Appl. Probab., 2016

2014

The Containment Condition and Adapfail Algorithms.

Krzysztof Latuszynski, Jeffrey S. Rosenthal

J. Appl. Probab., 2014

2012

Decrypting classical cipher text using Markov chain Monte Carlo.

Jian Chen, Jeffrey S. Rosenthal

Stat. Comput., 2012

2011

Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo.

Yves F. Atchadé, Gareth O. Roberts, Jeffrey S. Rosenthal

Stat. Comput., 2011

2007

AMCMC: An R interface for adaptive MCMC.

Jeffrey S. Rosenthal

Comput. Stat. Data Anal., 2007

2005

Link analysis ranking: algorithms, theory, and experiments.

Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Panayiotis Tsaparas

ACM Trans. Internet Techn., 2005

2004

Achieving limiting distributions for Markov chains using back buttons.

Andrey Feuerverger, Jeffrey S. Rosenthal

Stat. Comput., 2004

2003

A case study in the meta-reasoning procedure ND.

James J. Lu, Jeffrey S. Rosenthal, Andrew E. Shaffer

J. Exp. Theor. Artif. Intell., 2003

2002

Introduction to mathematical systems theory. a behavioral approach [Book Review].

Jeffrey S. Rosenthal

IEEE Trans. Autom. Control., 2002

2001

Finding authorities and hubs from link structures on the World Wide Web.

Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Panayiotis Tsaparas

Proceedings of the Tenth International World Wide Web Conference, 2001

2000

Efficient use of exact samples.

Duncan J. Murdoch, Jeffrey S. Rosenthal

Stat. Comput., 2000

Extension of Fill's perfect rejection sampling algorithm to general chains.

James Allen Fill, Motoya Machida, Duncan J. Murdoch, Jeffrey S. Rosenthal

Random Struct. Algorithms, 2000

1998

A simulation approach to convergence rates for Markov chain Monte Carlo algorithms.

Mary Kathryn Cowles, Jeffrey S. Rosenthal

Stat. Comput., 1998

1996

Analysis of the Gibbs sampler for a model related to James-Stein estimators.

Jeffrey S. Rosenthal

Stat. Comput., 1996

1995

Convergence Rates for Markov Chains.

Jeffrey S. Rosenthal

SIAM Rev., 1995

1993

Linear-Algebraic Results Associated with Antiferromagnetic Heisenberg Chains.

Man-Duen Choi, Jeffrey S. Rosenthal, Peter Rosenthal

SIAM J. Matrix Anal. Appl., July, 1993