Jeffrey S. Rosenthal

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 16

Top Topics

Markov Chain Monte Carlo

Stochastic Simulation

Survival Analysis

Top Venues

J. Appl. Probab.

Publications

Cédric Beaulac, Jeffrey S. Rosenthal
Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics. SN Comput. Sci. 4 (1) (2023)
Sigeng Chen, Jeffrey S. Rosenthal, Aki Dote, Hirotaka Tamura, Ali Sheikholeslami
Optimization via Rejection-Free Partial Neighbor Search. Stat. Comput. 33 (6) (2023)
Sabrina Sixta, Jeffrey S. Rosenthal
Convergence rate bounds for iterative random functions using one-shot coupling. Stat. Comput. 32 (5) (2022)
Zhaoyu Guo, Irwin Khuu, Kevin Zhu, Jeffrey S. Rosenthal, Frederic Paik Schoenberg
Distinguishing luck from skill through statistical simulation: a case study. Commun. Stat. Simul. Comput. 51 (5) (2022)
Gareth O. Roberts, Jeffrey S. Rosenthal, Nicholas G. Tawn
Skew brownian motion and complexity of the alps algorithm. J. Appl. Probab. 59 (3) (2022)
Jeffrey S. Rosenthal, Aki Dote, Keivan Dabiri, Hirotaka Tamura, Sigeng Chen, Ali Sheikholeslami
Jump Markov chains and rejection-free Metropolis algorithms. Comput. Stat. 36 (4) (2021)
Nicholas G. Tawn, Gareth O. Roberts, Jeffrey S. Rosenthal
Weight-preserving simulated tempering. Stat. Comput. 30 (1) (2020)
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne L. Wolden, David Hodgson
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial. Appl. Artif. Intell. 34 (14) (2020)
Cédric Beaulac, Jeffrey S. Rosenthal
Analysis of a high-resolution hand-written digits data set with writer characteristics. CoRR (2020)
Cédric Beaulac, Jeffrey S. Rosenthal
BEST: a decision tree algorithm that handles missing values. Comput. Stat. 35 (3) (2020)
Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis. CoRR (2018)
Cédric Beaulac, Jeffrey S. Rosenthal
Predicting University Students' Academic Success and Choice of Major using Random Forests. CoRR (2018)
Cédric Beaulac, Jeffrey S. Rosenthal
Handling Missing Values using Decision Trees with Branch-Exclusive Splits. CoRR (2018)
Jeffrey S. Rosenthal
Stochastic simulation of sequential game-theory voting models. Commun. Stat. Simul. Comput. 47 (7) (2018)
Jinyoung Yang, Jeffrey S. Rosenthal
Automatically tuned general-purpose MCMC via new adaptive diagnostics. Comput. Stat. 32 (1) (2017)
Gareth O. Roberts, Jeffrey S. Rosenthal
Complexity bounds for Markov chain Monte Carlo algorithms via diffusion limits. J. Appl. Probab. 53 (2) (2016)
Krzysztof Latuszynski, Jeffrey S. Rosenthal
The Containment Condition and Adapfail Algorithms. J. Appl. Probab. 51 (4) (2014)
Jian Chen, Jeffrey S. Rosenthal
Decrypting classical cipher text using Markov chain Monte Carlo. Stat. Comput. 22 (2) (2012)
Yves F. Atchadé, Gareth O. Roberts, Jeffrey S. Rosenthal
Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo. Stat. Comput. 21 (4) (2011)
Jeffrey S. Rosenthal
AMCMC: An R interface for adaptive MCMC. Comput. Stat. Data Anal. 51 (12) (2007)
Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Panayiotis Tsaparas
Link analysis ranking: algorithms, theory, and experiments. ACM Trans. Internet Techn. 5 (1) (2005)
Andrey Feuerverger, Jeffrey S. Rosenthal
Achieving limiting distributions for Markov chains using back buttons. Stat. Comput. 14 (2) (2004)
James J. Lu, Jeffrey S. Rosenthal, Andrew E. Shaffer
A case study in the meta-reasoning procedure ND. J. Exp. Theor. Artif. Intell. 15 (1) (2003)
Jeffrey S. Rosenthal
Introduction to mathematical systems theory. a behavioral approach [Book Review]. IEEE Trans. Autom. Control. 47 (4) (2002)
Allan Borodin, Gareth O. Roberts, Jeffrey S. Rosenthal, Panayiotis Tsaparas
Finding authorities and hubs from link structures on the World Wide Web. WWW (2001)
Duncan J. Murdoch, Jeffrey S. Rosenthal
Efficient use of exact samples. Stat. Comput. 10 (3) (2000)
James Allen Fill, Motoya Machida, Duncan J. Murdoch, Jeffrey S. Rosenthal
Extension of Fill's perfect rejection sampling algorithm to general chains. Random Struct. Algorithms 17 (3-4) (2000)
Mary Kathryn Cowles, Jeffrey S. Rosenthal
A simulation approach to convergence rates for Markov chain Monte Carlo algorithms. Stat. Comput. 8 (2) (1998)
Jeffrey S. Rosenthal
Analysis of the Gibbs sampler for a model related to James-Stein estimators. Stat. Comput. 6 (3) (1996)
Jeffrey S. Rosenthal
Convergence Rates for Markov Chains. SIAM Rev. 37 (3) (1995)
Man-Duen Choi, Jeffrey S. Rosenthal, Peter Rosenthal
Linear-Algebraic Results Associated with Antiferromagnetic Heisenberg Chains. SIAM J. Matrix Anal. Appl. 14 (3) (1993)