J. Rosenthal

发表

Rates of convergence for Gibbs sampler and other Markov chains

J. Rosenthal, 1992 .

Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo

J. Rosenthal, 1995 .

Optimal scaling for various Metropolis-Hastings algorithms

J. Rosenthal, G. Roberts, 2001 .

On Variance Conditions for Markov Chain CLTs

Olle Häggström, J. Rosenthal, 2007 .

Optimal scaling of discrete approximations to Langevin diffusions

J. Rosenthal, G. Roberts, 1998 .

Possible biases induced by MCMC convergence diagnostics

J. Rosenthal, G. Roberts, M. Cowles, 1999 .

Convergence rate of Markov chain methods for genomic motif discovery

J. Rosenthal, D. Woodard, 2013, 1303.2814.

QUANTITATIVE CONVERGENCE RATES OF MARKOV CHAINS: A SIMPLE ACCOUNT

J. Rosenthal, 2002 .

Markov Chain Monte Carlo

J. Rosenthal, G. Roberts, M. Wickerhauser, 2018 .

Convergence of Slice Sampler Markov Chains

J. Rosenthal, G. Roberts, 1999 .

Rates of Convergence for Data Augmentation on Finite Sample Spaces

J. Rosenthal, 1993 .

The polar slice sampler

J. Rosenthal, G. Roberts, 2002 .

On convergence rates of Gibbs samplers for uniform distributions

J. Rosenthal, G. Roberts, 1998 .

Shift-coupling and convergence rates of ergodic averages

J. Rosenthal, G. Roberts, 1997 .

Examples of Adaptive MCMC

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2009 .

Quantitative bounds on convergence of time-inhomogeneous Markov chains

R. Douc, É. Moulines, J. Rosenthal, 2004, math/0503532.

On the applicability of regenerative simulation in Markov chain Monte Carlo

Galin L. Jones, B. Presnell, J. Rosenthal, 2002 .

Complexity Bounds for MCMC via Diffusion Limits

J. Rosenthal, G. Roberts, 2014, 1411.0712.

On the efficiency of pseudo-marginal random walk Metropolis algorithms

J. Rosenthal, G. Roberts, C. Sherlock, 2013, The Annals of Statistics.

Adaptive Gibbs samplers and related MCMC methods

J. Rosenthal, G. Roberts, K. Latuszy'nski, 2011, 1101.5838.

Markov Chain Monte Carlo Methods

J. Rosenthal, G. Roberts, 2006 .

A First Look at Rigorous Probability Theory

J. Rosenthal, 2000 .

Surprising Convergence Properties of Some Simple Gibbs Samplers under Various Scans

J. Rosenthal, G. Roberts, 2015 .

Moment conditions for a sequence with negative drift to be uniformly bounded in Lr

R. Pemantle, J. Rosenthal, 1999, math/0404093.

Harris recurrence of Metropolis-within-Gibbs and trans-dimensional Markov chains

J. Rosenthal, G. Roberts, 2006, math/0702412.

Complexity bounds for Markov chain Monte Carlo algorithms via diffusion limits

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2016, Journal of Applied Probability.

Finding Generators for Markov Chains via Empirical Transition Matrices, with Applications to Credit Ratings

J. Rosenthal, R. Israel, J. Wei, 2001 .

Random Rotations: Characters and Random Walks on SO(N)

J. Rosenthal, 1994 .

Positional targets for lingual consonants defined using electromagnetic articulography.

J. Rosenthal, Y. Yunusova, Krista Rudy, 2012, The Journal of the Acoustical Society of America.

Convergence Rates for Markov Chains

Jeffrey S. Rosenthal, J. Rosenthal, 1995, SIAM Rev..

On Generalizing the Cut-off Phenomenon for Random Walks on Groups

J. Rosenthal, 1995 .

Random walks on discrete and continuous circles

J. Rosenthal, 1993 .

Rates of convergence for everywhere-positive Markov chains

J. Rosenthal, J. Baxter, 1995 .

A Mathematical Analysis of the Sleeping Beauty Problem

J. Rosenthal, 2009 .

Discussion on the paper by Brooks, Giudici and Roberts

Petros Dellaportas, Christophe Andrieu, Arnaud Doucet, 2003 .

JUDICIAL GHOSTWRITING : AUTHORSHIP ON THE SUPREME COURT

Jeffrey S. Rosenthal, J. Rosenthal, Albert H. Yoon, 2011 .

Minimising MCMC variance via diffusion limits, with an application to simulated tempering

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2014 .

OPTIMAL SCALING OF METROPOLIS-COUPLED MARKOV CHAIN

J. Rosenthal, G. Roberts, Y. Atchadé, 2009 .

Notes About Markov Chain CLTs

J. Rosenthal, 2007 .

Combinatorial identities associated with CFTP by

J. Rosenthal, G. Roberts, 2001 .

Complexity results for MCMC derived from quantitative bounds

J. Rosenthal, Jun Yang, 2017, The Annals of Applied Probability.

Likelihood inflating sampling algorithm

Radu V. Craiu, J. Rosenthal, R. Craiu, 2016, 1605.02113.

Bayesian Models for Sparse Regression Analysis of High Dimensional Data

S. Richardson, J. Rosenthal, B. Mallick, 2012 .

Capitalism's growth imperative

J. Rosenthal, M. Gordon, 2003 .

General state space Markov chains and MCMC algorithms

J. Rosenthal, G. Roberts, 2004, math/0404033.

Approximations of geometrically ergodic reversible markov chains

J. Rosenthal, Jeffrey Negrea, 2021, Advances in Applied Probability.

MEXIT: Maximal un-coupling times for stochastic processes

Philip A. Ernst, J. Rosenthal, G. Roberts, 2017, Stochastic Processes and their Applications.

MEXIT: Maximal un-coupling times for Markov processes

J. Rosenthal, G. Roberts, W. Kendall, 2017 .

Approximations of Geometrically Ergodic Markov Chains

J. Rosenthal, Jeffrey Negrea, 2017 .

Simple confidence intervals for MCMC without CLTs

Jeffrey S. Rosenthal, J. Rosenthal, 2017 .

Hitting Time and Convergence Rate Bounds for Symmetric Langevin Diffusions

J. Rosenthal, G. Roberts, 2016, 1611.03141.

Convergence of Conditional Metropolis-Hastings Samplers

Gareth O. Roberts, Jeffrey S. Rosenthal, Galin L. Jones, 2014, Advances in Applied Probability.

Stability of adversarial Markov chains, with an application to adaptive MCMC algorithms

Gareth O. Roberts, Neal Madras, Radu V. Craiu, 2014 .

A note on formal constructions of sequential conditional couplings

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2013 .

Quantitative Non-Geometric Convergence Bounds for Independence Samplers

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2011 .

Adaptive Gibbs samplers

Jeffrey S. Rosenthal, Krzysztof Latuszynski, J. Rosenthal, 2010 .

Adaptive MCMC : Background , Theory , and Simulations ∗ Supervisor : Professor

J. Rosenthal, 2006 .

Markov Chains and De‐initializing Processes

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2001 .

SMALL AND PSEUDO-SMALL SETS FOR MARKOV CHAINS

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2001 .

Markov Chains and De-initialising Processes by

J. Rosenthal, G. Roberts, 2001 .

Geometric Convergence Rates for Time-Sampled Markov Chains

J. Rosenthal, 2003 .

Optimal scaling of Metropolis algorithms: Heading toward general target distributions

Jeffrey S. Rosenthal, Mylène Bédard, J. Rosenthal, 2008 .

A note on geometric ergodicity and floating-point roundoff error

Gareth O. Roberts, Jeffrey S. Rosenthal, L. A. Breyer, 2001 .

Error Bounds for Approximations of Geometrically Ergodic Markov Chains

J. Rosenthal, Jeffrey Negrea, 2017 .

Convergence Properties of Perturbed Markov Chains

Gareth O. Roberts, Jeffrey S. Rosenthal, Peter O. Schwartz, 1998, Journal of Applied Probability.

On the collapsibility of lifetime regression models

Jeffrey S. Rosenthal, Thierry Duchesne, J. Rosenthal, 2003, Advances in Applied Probability.

Asymptotic Variance and Convergence Rates of Nearly-Periodic Markov Chain Monte Carlo Algorithms

Jeffrey S. Rosenthal, J. Rosenthal, 2003 .

Controllable content generation

J. Rosenthal, Cédric Beaulac, 2019 .

Detecting Multiple Authorship of United States Supreme Court Legal Decisions Using Function Words

J. Rosenthal, Albert H. Yoon, 2011, 1104.2974.

Meetings with Costly Participation

Matthew A. Turner, Jeffrey S. Rosenthal, Martin J. Osborne, 2000 .

Variance bounding Markov chains.

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2008 .

Bayesian spatial analysis of hardwood tree counts in forests via MCMC

J. Rosenthal, R. Entezari, P. Brown, 2018, Environmetrics.

MAXIMUM BINOMIAL PROBABILITIES AND GAME THEORY VOTER MODELS

J. Rosenthal, 2020 .

Nash equilibria for voter models with randomly perceived positions

Jeffrey S. Rosenthal, J. Rosenthal, 2018 .

Perfect Forward Simulation via Simulated Tempering

Stephen P. Brooks, Yanan Fan, Jeffrey S. Rosenthal, 2006 .

RATES OF CONVERGENCE FOR EVERYWHERE-POSITIVE MARKOV

Jeffrey S. Rosenthal, J. R. Baxter, J. Rosenthal, 1995 .

Quantitative Bounds for Convergence Rates of Continuous Time Markov Processes

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 1996 .

One-shot coupling for certain stochastic recursive sequences

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 2002 .

Dimension‐free mixing for high‐dimensional Bayesian variable selection

J. Rosenthal, G. Roberts, D. Vats, 2021, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Combinatorial identifites associated with CFTP.

J. Rosenthal, G. Roberts, 2004 .

A note on convergence rates of Gibbs sampling for nonparametric mixtures.

J. Rosenthal, G. Roberts, Sonia Petrone, 1999 .

Geometric Ergodicity and Hybrid Markov Chains

J. Rosenthal, G. Roberts, 1997 .

A note on geometri ergodi ityand oating-point roundo

J. Rosenthal, G. Roberts, errorbyLaird, 2000 .

Two convergence properties of hybrid samplers

J. Rosenthal, G. Roberts, 1998 .

On adaptive Markov chain Monte Carlo algorithms

J. Rosenthal, Y. Atchadé, Jeffrey S. Rosenthal, 2005 .

An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group.

J. Rosenthal, D. Friedman, D. Hodgson, 2020 .

Stochastic Justification of Some Simple Reliability Models

J. Rosenthal, T. Duchesne, 2002 .

Department of

J. Rosenthal, G. Roberts, Yanjia Bai, 1993 .

Paleohydrology of China Lake basin and the context of early human occupation in the northwestern Mojave Desert, USA

J. Rosenthal, B. Byrd, M. Palacios-Fest, 2017 .

The Bieberbach Conjecture a Minor Thesis Submitted By

J. Rosenthal, 1989 .

Probability, Justice, and the Risk of Wrongful Conviction

J. Rosenthal, 2015, The Mathematics Enthusiast.

Stable Isotope Provenance Analysis of Olivella Shell Beads From the Los Angeles Basin and San Nicolas Island

Nathan E. Stevens, J. Rosenthal, J. Eerkens, 2010 .

A Comparison of two Techniques on Olivella biplicata Shells and Beads from Western North America

J. Rosenthal, J. Eerkens, H. Spero, 2007 .

Provenance analysis of Olivella biplicata shell beads from the California and Oregon Coast by stable isotope fingerprinting

J. Rosenthal, J. Eerkens, H. Spero, 2005 .

Sampling by Divergence Minimization

J. Rosenthal, V. Ngo, Ameer Dharamshi, 2021, 2105.00520.

A Stochastic Justi cation of Some Simple Reliability Models

J. Rosenthal, 2010 .

Shell Bead Sourcing: A Comparison of Two Techniques on Olivella biplicata Shells and Beads from Western North America

J. Rosenthal, J. Eerkens, R. Shiraki, 2007 .

A Re ned Shell Bead Chronology for Late Holocene Central California

J. Rosenthal, J. Southon, Randall G. Groza, 2011 .

Fluted and Basally Thinned Concave-Base Points of Obsidian in the Borden Collection from Inyo County, Alta California: Age and Significance

Alan P. Garfinkel, J. Rosenthal, J. Erlandson, 2018 .

Further Thoughts on the Age of the Sylwester Clovis Point: A Response to Haynes

J. Rosenthal, J. Meyer, Michael J. Moratto, 2018, PaleoAmerica.

Crossword Puzzles: a Case Study in Compute-intensive Meta-reasoning ?

James J. Lu, J. Rosenthal, Je rey S. Rosenthal, 2007 .

The Role of Canids in Ritual and Domestic Contexts: New Ancient DNA Insights from Complex Hunter-Gatherer Sites in Prehistoric Central California

J. Rosenthal, J. Leonard, J. Eerkens, 2013 .

A Cultural Chronology for Solano County, California

J. Rosenthal, 1996 .

A Terminal Pleistocene/Early Holocene Environmental Record and Fluted Point from Twain Harte, California

J. Rosenthal, O. Davis, J. Meyer, 2017 .

Bedrock mortars as indicators of territorial behavior in the Sierra Nevada

Nathan E. Stevens, J. Rosenthal, Adrian R. Whitaker, 2017, Quaternary International.

Adaptation to Climate Change: Evidence from 18th and 19th Century Iceland

J. Rosenthal, M. Turner, C. Hao, 2010 .

Optimization via Rejection-Free Partial Neighbor Search

J. Rosenthal, H. Tamura, A. Doté, 2022, 2205.02083.

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

J. Rosenthal, Sabrina Sixta, 2021, Statistics and computing.

Predicting Adult Offenders' Criminal Trajectories from Their Juvenile Criminal Trajectories.

J. Rosenthal, T. Duchesne, D. M. Day, 2003 .

Skew brownian motion and complexity of the alps algorithm

Nicholas G. Tawn, J. Rosenthal, G. Roberts, 2020, Journal of Applied Probability.

Reflections on Bayesian inference and Markov chain Monte Carlo

Radu V. Craiu, J. Rosenthal, P. Gustafson, 2022, Canadian Journal of Statistics.

General state space Markov chains and MCMC algorithms

J. Rosenthal, G. Roberts, 2004, math/0404033.

Young Offenders' Diagnoses as Predictors of Subsequent Adult Criminal Behaviour.

J. Rosenthal, T. Duchesne, I. Bevc, 2003 .

Hitting Time and Convergence Rate Bounds for Symmetric Langevin Diffusions

J. Rosenthal, G. Roberts, 2016, Methodology and Computing in Applied Probability.

CRIMINAL TRAJECTORIES FROM ADOLESCENCE TO ADULTHOOD IN AN ONTARIO SAMPLE OF OFFENDERS

J. Rosenthal, T. Duchesne, D. M. Day, 2007 .

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

J. Rosenthal, J. A. Fill, D. Murdoch, 2000, Random Struct. Algorithms.

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

J. Rosenthal, J. A. Fill, D. Murdoch, 2000, Random Struct. Algorithms.

General state space Markov chains and MCMC algorithms

J. Rosenthal, G. Roberts, 2004, math/0404033.

Opinion writing and authorship on the Supreme Court of Canada

J. Rosenthal, Albert H. Yoon, Kelly Bodwin, 2013 .

Football Group Draw Probabilities and Corrections

J. Rosenthal, G. Roberts, 2022, 2205.06578.

Quantitative bounds on convergence of time-inhomogeneous Markov chains

R. Douc, É. Moulines, J. Rosenthal, 2004, math/0503532.

Sampling via Rejection-Free Partial Neighbor Search

J. Rosenthal, H. Tamura, A. Doté, 2022, 2210.10513.

Optimization via Rejection-Free Partial Neighbor Search

J. Rosenthal, H. Tamura, A. Doté, 2022, 2205.02083.

Scaling limits for the transient phase of local Metropolis–Hastings algorithms

J. Rosenthal, G. Roberts, O. F. Christensen, 2005 .

Coupling and Ergodicity of Adaptive Markov Chain Monte Carlo Algorithms

J. Rosenthal, G. Roberts, 2007, Journal of Applied Probability.

Moment conditions for a sequence with negative drift to be uniformly bounded in Lr

R. Pemantle, J. Rosenthal, Robin Pemantle, 1999, math/0404093.

Automatically tuned general-purpose MCMC via new adaptive diagnostics

J. Rosenthal, Jinyoung Yang, 2016, Computational statistics (Zeitschrift).

Convergence Rates of Attractive-Repulsive MCMC Algorithms

J. Rosenthal, Shanshan Shangguan, Yu Jiang, 2021, Methodology and Computing in Applied Probability.

Ergodicity of Combocontinuous Adaptive MCMC Algorithms

J. Rosenthal, Jinyoung Yang, 2017, Methodology and Computing in Applied Probability.

Hitting Time and Convergence Rate Bounds for Symmetric Langevin Diffusions

J. Rosenthal, G. Roberts, 2017, Methodology and Computing in Applied Probability.

Decrypting classical cipher text using Markov chain Monte Carlo

J. Rosenthal, Jing Chen, 2012, Stat. Comput..

Projectile Point Typology and Chronology in the North Central Sierra Nevada

J. Rosenthal, 2002 .

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

J. Rosenthal, Cédric Beaulac, 2020, SN Computer Science.

Many-Candidate Nash Equilibria for Elections Involving Random Selection

J. Rosenthal, 2018, Methodology and Computing in Applied Probability.

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

Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, 2020, Applied Artificial Intelligence.

Hunter-Gatherer Storage, Settlement, and The Opportunity Costs of Women's Foraging

Jeffrey S. Rosenthal, J. Rosenthal, Carly Whelan, 2013 .

Optimizing and Adapting the Metropolis Algorithm

Jeffrey S. Rosenthal, J. Rosenthal, 2014 .

Stochastic processes and gambling games

Jeffrey S. Rosenthal, J. Rosenthal, 2006 .

Active Learning Strategies in Advanced Mathematics Classes.

Jeffrey S. Rosenthal, J. Rosenthal, 1995 .

Are obsidian subsources meaningful units of analysis? temporal and spatial patterning of subsources in the Coso Volcanic Field, southeastern California

Jeffrey S. Rosenthal, Jelmer W. Eerkens, J. Rosenthal, 2004 .

Early Holocene Landscape Archaeology in the Coso Basin, Northwestern Mojave Desert, California

J. Rosenthal, J. Eerkens, Jay. D. King, 2007 .

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

David Hodgson, Jeffrey S. Rosenthal, Cédric Beaulac, 2018, ArXiv.

Further probabilistic foundations

Jeffrey S. Rosenthal, J. Rosenthal, 2006 .

The need for measure theory

Jeffrey S. Rosenthal, J. Rosenthal, 2006 .

Achieving limiting distributions for Markov chains using back buttons

Jeffrey S. Rosenthal, Andrey Feuerverger, J. Rosenthal, 2004, Stat. Comput..

2023 Equivalences of Geometric Ergodicity of Markov Chains by (in alphabetical order)

J. Rosenthal, M. A. Gallegos-Herrada, D. Ledvinka, 2023 .

Multiple dosing of prostaglandin F2 alpha or epinephrine on cynomolgus monkey eyes. I. Aqueous humor dynamics.

J. Rosenthal, S. Podos, C. Camras, 1987, Investigative ophthalmology & visual science.

A probable prehistoric case of meningococcal disease from San Francisco Bay: Next generation sequencing of Neisseria meningitidis from dental calculus and osteological evidence.

Gemma G. R. Murray, J. Rosenthal, B. Shapiro, 2018, International journal of paleopathology.

Social boundaries, territoriality, and the cultural ecology of artiodactyl hunting in prehistoric central California

J. Rosenthal, Adrian R. Whitaker, Paul Brandy, 2017, Quaternary International.

Optimal Scaling of Metropolis Algorithms : Is 0 . 234 as Robust as is Believed ?

J. Rosenthal, M. Bédard, 2007 .

Bayesian Computation Via Markov Chain Monte Carlo

Radu V. Craiu, Jeffrey S. Rosenthal, Radu V. Craiu, 2014 .

RATES OF CONVERGENCE FOR GIBBS SAMPLING FOR VARIANCE COMPONENT MODELS

J. Rosenthal, 1995 .

Capturing spatial dependence of COVID-19 case counts with cellphone mobility data

J. Rosenthal, J. Mateu, P. Brown, 2021, Spatial Statistics.

Markov‐chain monte carlo: Some practical implications of theoretical results

Gareth O. Roberts, Jeffrey S. Rosenthal, J. Rosenthal, 1998 .

Optimal Proposal Distributions and Adaptive MCMC

Jeffrey S. Rosenthal, J. Rosenthal, 2011 .

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

J. Rosenthal, D. Friedman, S. Wolden, 2020, Appl. Artif. Intell..

The thermally injured ear: a systematic approach to reconstruction.

J. Rosenthal, 1992, Clinics in plastic surgery.

On the Appli ability of Regenerative Simulationin Markov Chain Monte

Galin L. Jones, B. Presnell, J. Rosenthal, 2001 .

Markov Chain Monte Carlo Algorithms: Theory and Practice

Jeffrey S. Rosenthal, J. Rosenthal, 2009 .

Dental calculus as a source of ancient alkaloids: Detection of nicotine by LC-MS in calculus samples from the Americas

J. Rosenthal, D. Gang, J. Eerkens, 2018 .

Transition from Geophyte to Seed Processing : Evidence for Intensification from Thermal Features near China Lake , Northern Mojave Desert

J. Rosenthal, J. Eerkens, 2008 .

Brodiaea Return Rates and Their Ethnographic and Archaeological Implications for Occupation of the Northwestern Mojave Desert of North America

J. Rosenthal, A. Ugan, 2016 .

Donax Don't Tell: Reassessing Late Holocene Land Use in Northern San Diego County

J. Rosenthal, W. Hildebrandt, Jerome King, 2001 .

An Ethnobiological Approach to Reconstructing Indigenous Fire Regimes in the Foothill Chaparral of the Western Sierra Nevada

J. Rosenthal, M. Anderson, M. Kat Anderson, 2015 .

Hunter-Gatherer Storage, Settlement, and the Opportunity Costs of Women’s Foraging

J. Rosenthal, Adrian R. Whitaker, E. Wohlgemuth, 2013, American Antiquity.

The Holocene biogeography of Pinus sabiniana Douglas ex D. Don (gray pine) in California

J. Rosenthal, Adrian R. Whitaker, E. Wohlgemuth, 2014, Vegetation History and Archaeobotany.

Shellfish Transport, Caloric Return Rates, and Prehistoric Feasting on the Laguna De Santa Rosa, Alta California

Glenn J. Gmoser, J. Rosenthal, W. Hildebrandt, 2009 .

Beyond the Quintessential Quincunx

Michael A. Proschan, Jeffrey S. Rosenthal, J. Rosenthal, 2010 .

Predicting University Students’ Academic Success and Major Using Random Forests

Jeffrey S. Rosenthal, C'edric Beaulac, J. Rosenthal, 2018, Research in Higher Education.

Contributed Discussion on Article by Pratola

Radu V. Craiu, J. Rosenthal, M. Kaptein, 2016 .

Comment on Article by Matthew T . Pratola

J. Rosenthal, R. Craiu, R. Entezari, 2016 .

Psychological Aspects of Reconstructive and Cosmetic Plastic Surgery: Clinical, Empirical, and Ethical Perspectives, 1st Edition

J. Rosenthal, 2007 .

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

J. Rosenthal, Cédric Beaulac, 2020, ArXiv.

Learn From Thy Neighbor: Parallel-Chain and Regional Adaptive MCMC

Chao Yang, Radu V. Craiu, Jeffrey S. Rosenthal, 2009 .

Waiting Time Correlations on Disorderly Streetcar Routes

J. Rosenthal, 2007 .

Quantitative bounds for geometric convergence rates of Markov Chains

R. Douc, É. Moulines, J. Rosenthal, 2002 .

AMCMC: An R interface for adaptive MCMC

Jeffrey S. Rosenthal, J. Rosenthal, 2007, Comput. Stat. Data Anal..

Theoretical rates of convergence for Markov chain Monte Carlo

Jeffrey S. Rosenthal, J. Rosenthal, 2006 .

Analysis of the Gibbs Sampler for a Model Related to James-stein Estimators

Jeffrey S. Rosenthal, J. Rosenthal, 2007 .

Criminal Trajectories and Risk Factors in a Canadian Sample of Offenders

Ashley K. Ward, J. Rosenthal, T. Duchesne, 2010 .

Comparison of Adult Offense Prediction Methods Comparison of Adult Offense Prediction Methods based on Juvenile Offense Trajectories using Cross-Validation

J. Rosenthal, T. Duchesne, I. Bevc, 2005 .

Long-Term Follow-Up of Criminal Activity with Adjudicated Youth in Ontario: Identifying Offence Trajectories and Predictors/Correlates of Trajectory Group Membership

Ashley K. Ward, J. Rosenthal, J. D. Nielsen, 2012 .

Judicial Ghostwriting: Authorship on the U.S. Supreme Court

J. Rosenthal, Albert H. Yoon, 2010 .

Rosenthal-Yoon – Judicial Authorship: please do not cite or quote

J. Rosenthal, Albert H. Yoon, 2010 .

Interdisciplinary sojourns

J. Rosenthal, 2014 .

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

Jeffrey S. Rosenthal, J. Rosenthal, 2002, IEEE Transactions on Automatic Control.

Human Behavioral Ecology and Historical Contingency: A Comment on the Diablo Canyon Archaeological Record

J. Rosenthal, K. McGuire, W. Hildebrandt, 2010, American Antiquity.

Link analysis ranking: algorithms, theory, and experiments

Allan Borodin, Panayiotis Tsaparas, Gareth O. Roberts, 2005, TOIT.

CRIMINAL TRAJECTORIES OF TWO SUBSAMPLES OF ADJUDICATED ONTARIO YOUTHS Research Report : 2012-1

Ashley K. Ward, J. Rosenthal, J. D. Nielsen, 2012 .

Criminal Activity of Adjudicated Youth Long-term Follow-up of Criminal Activity with Adjudicated Youth in Ontario

Ashley K. Ward, J. Rosenthal, J. D. Nielsen, 2010 .

Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory

Xiao-Li Meng, Antonietta Mira, Radu V. Craiu, 2012 .

A Bayesian approach to estimating COVID-19 incidence and infection fatality rates.

J. Rosenthal, P. Gustafson, H. Campbell, 2023, Biostatistics.

Retrospective study of non-natural manners of death in Ontario: Effects of the COVID-19 pandemic and related public health measures

J. Rosenthal, R. Wells, J. Dmetrichuk, 2021, The Lancet Regional Health - Americas.

BEST: a decision tree algorithm that handles missing values

Jeffrey S. Rosenthal, C'edric Beaulac, J. Rosenthal, 2018, Comput. Stat..

SCHOOL OF STATISTICS

J. Rosenthal, 2012 .

Coupling and Ergodicity of Adaptive MCMC

Jeffrey S. Rosenthal, J. Rosenthal, 2007 .

Faithful Couplings of Markov Chains

Jeffrey S. Rosenthal, J. Rosenthal, 1997 .

Natural density of rectangular unimodular integer matrices

U. Wagner, J. Rosenthal, G. Maze, 2010, 1005.3967.

Polynomial Convergence Rates of Piecewise Deterministic Markov Processes

J. Rosenthal, G. Roberts, 2023, Methodology and Computing in Applied Probability.

PR ] 3 J ul 2 02 3 Equivalences of Geometric Ergodicity of Markov Chains by ( in alphabetical order )

J. Rosenthal, M. A. Gallegos-Herrada, D. Ledvinka, 2023 .

Correction: Minorization Condition and Convergence Rates for Markov Chain Monte Carlo

J. Rosenthal, 1995 .

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

Mary Kathryn Cowles, Jeffrey S. Rosenthal, J. Rosenthal, 1998, Stat. Comput..

Isotopic Evidence of Sources for Central California Olivella Beads

J. Rosenthal, J. Eerkens, H. Spero, 2023, California Archaeology.

Many-Candidate Nash Equilibria for Elections Involving Random Selection

J. Rosenthal, 2018, Methodology and Computing in Applied Probability.

Stochastic simulation of sequential game-theory voting models

Jeffrey S. Rosenthal, J. Rosenthal, 2018, Commun. Stat. Simul. Comput..

An Historical Survey of the Development of Probability and Statistics based on the Appearance of Fundamental Concepts

J. Rosenthal, D. McFadyen, 2003 .

Was the conservative majority predictable?

J. Rosenthal, 2011 .

Complexity results for MCMC derived from quantitative bounds

J. Rosenthal, Jun Yang, 2017, The Annals of Applied Probability.

Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo

Gareth O. Roberts, Jeffrey S. Rosenthal, Yves F. Atchadé, 2011, Stat. Comput..

Struck by Lightning: The Curious World of Probabilities

Jeffrey S. Rosenthal, J. Rosenthal, 2005 .

Markov chain convergence: From finite to infinite

Jeffrey S. Rosenthal, J. Rosenthal, 1996 .

Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model

J. Rosenthal, Justin Slater, P. Brown, 2020, Stat.

Football Group Draw Probabilities and Corrections

J. Rosenthal, G. Roberts, 2022, 2205.06578.

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

Allan Borodin, Panayiotis Tsaparas, Gareth O. Roberts, 2001, WWW '01.

Grades and Incentives : Assessing Competing GPA Measures and Post-Graduate Outcomes

Michael A. Bailey, J. Rosenthal, Albert H. Yoon, 2012 .

Linear-algebraic results associated with antiferromagnetic Heisenberg chains

J. Rosenthal, Man-Duen Choi, P. Rosenthal, 1993 .

Group-based Criminal Trajectory Analysis Using Cross-validation Criteria

Janus Dam Nielsen, Jeffrey S. Rosenthal, YiMin Sun, 2014 .

Ergodicity of Markov Processes via Nonstandard Analysis

J. Rosenthal, W. Weiss, Haosui Duanmu, 2021, Memoirs of the American Mathematical Society.

Geometric Ergodicity and Hybrid Markov Chains

J. Rosenthal, G. Roberts, 1997 .

Erratum to: Extremal indices, geometric ergodicity of Markov chains, and MCMC

J. Rosenthal, G. Roberts, J. Segers, 2010 .

Extremal indices, geometric ergodicity of Markov chains, and MCMC

Johan Segers, Gareth O. Roberts, Jeffrey S. Rosenthal, 2006 .

Optimal scaling of random-walk metropolis algorithms on general target distributions

J. Rosenthal, G. Roberts, Jun Yang, 2019, Stochastic Processes and their Applications.

Optimal Proposal Distributions and Adaptive MCMC

J. Rosenthal, 2011 .

Possible biases induced by MCMC convergence diagnosticsbyMary

J. Rosenthal, G. Roberts, K. Cowles, 1997 .

Markov‐chain monte carlo: Some practical implications of theoretical results

J. Rosenthal, Gareth O. Roberts, 1998 .

Geometric Ergodicity and Hybrid Markov Chains

J. Rosenthal, G. Roberts, 1997 .

Statistical inference and computational efficiency for spatial infectious disease models with plantation data

Patrick Brown, Xin Wang, Jeffrey S. Rosenthal, 2014 .

Weight-preserving simulated tempering

Gareth O. Roberts, Jeffrey S. Rosenthal, Nicholas G. Tawn, 2018, Statistics and Computing.

Optimal Scaling of Metropolis Algorithms on General Target Distributions

J. Rosenthal, G. Roberts, Jun Yang, 2019 .

Automatically tuned general-purpose MCMC via new adaptive diagnostics

Jeffrey S. Rosenthal, Jinyoung Yang, J. Rosenthal, 2016, Computational Statistics.

Convergence Rates of Attractive-Repulsive MCMC Algorithms

Zixuan Wu, Jeffrey S. Rosenthal, Yu Hang Jiang, 2020, Methodology and Computing in Applied Probability.

Convergence of independent particle systems

J. R. Hoffman, J. Rosenthal, 1995 .