Jeffrey S. Rosenthal

SN Comput. Sci., 2023

2022

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

[BibT_eX]

[DOI]

Sabrina Sixta

Stat. Comput., 2022

Skew brownian motion and complexity of the alps algorithm.

[BibT_eX]

[DOI]

Nicholas G. Tawn

J. Appl. Probab., 2022

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

[BibT_eX]

[DOI]

Frederic Paik Schoenberg

Commun. Stat. Simul. Comput., 2022

2021

Jump Markov chains and rejection-free Metropolis algorithms.

[BibT_eX]

[DOI]

Comput. Stat., 2021

2020

Weight-preserving simulated tempering.

[BibT_eX]

[DOI]

Nicholas G. Tawn

Stat. Comput., 2020

BEST: a decision tree algorithm that handles missing values.

[BibT_eX]

[DOI]

Comput. Stat., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2020

2018

Stochastic simulation of sequential game-theory voting models.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., 2018

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

[BibT_eX]

[DOI]

David Hodgson

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

2017

Automatically tuned general-purpose MCMC via new adaptive diagnostics.

[BibT_eX]

[DOI]

Jinyoung Yang

Comput. Stat., 2017

2016

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

[BibT_eX]

[DOI]

J. Appl. Probab., 2016

2014

The Containment Condition and Adapfail Algorithms.

[BibT_eX]

[DOI]

Krzysztof Latuszynski

J. Appl. Probab., 2014

2012

Decrypting classical cipher text using Markov chain Monte Carlo.

[BibT_eX]

[DOI]

Jian Chen

Stat. Comput., 2012

2011

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

[BibT_eX]

[DOI]

Yves F. Atchadé

Stat. Comput., 2011

2007

AMCMC: An R interface for adaptive MCMC.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2007

2005

Link analysis ranking: algorithms, theory, and experiments.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2005

2004

Achieving limiting distributions for Markov chains using back buttons.

[BibT_eX]

[DOI]

Andrey Feuerverger

Stat. Comput., 2004

2003

A case study in the meta-reasoning procedure ND.

[BibT_eX]

[DOI]

James J. Lu

Andrew E. Shaffer

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

2002

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

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2002

2001

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

[BibT_eX]

[DOI]

Proceedings of the Tenth International World Wide Web Conference, 2001

2000

Efficient use of exact samples.

[BibT_eX]

[DOI]

Duncan J. Murdoch

Stat. Comput., 2000

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

[BibT_eX]

[DOI]

Random Struct. Algorithms, 2000

1998

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

[BibT_eX]

[DOI]

Mary Kathryn Cowles

Stat. Comput., 1998

1996

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

[BibT_eX]

[DOI]

Stat. Comput., 1996

1995

Convergence Rates for Markov Chains.

[BibT_eX]

[DOI]

SIAM Rev., 1995

1993

Linear-Algebraic Results Associated with Antiferromagnetic Heisenberg Chains.

[BibT_eX]

[DOI]

Man-Duen Choi