Hugh Chipman

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All published works

Action	Title	Year	Authors
+ PDF Chat	Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2022	Hugh Chipman Derek Bingham
+	Bayesian Additive Regression Trees, Computational Approaches	2022	Hugh Chipman Edward I. George R. L. Hahn Robert McCulloch Matthew T. Pratola Rodney Sparapani
+	A quality framework for statistical algorithms	2021	Wesley Yung S. M. Tam Bart Buelens Hugh Chipman Florian Dumpert Gabriele Ascari Fabiana Rocci Joep Burger Inkyung Choi
+ PDF Chat	mBART: Multidimensional Monotone BART	2021	Hugh Chipman Edward I. George Robert E. McCulloch Thomas S. Shively
+	Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments	2021	Hugh Chipman Derek Bingham
+	Heteroscedastic BART via Multiplicative Regression Trees	2019	Matthew T. Pratola Hugh Chipman Edward I. George Robert E. McCulloch
+	Bayesian Trees for Conditional Mean and Variance [R package rbart version 1.0]	2019	Robert McCulloch Matthew T. Pratola Hugh Chipman
+	Heteroscedastic BART Using Multiplicative Regression Trees	2017	Matthew T. Pratola Hugh Chipman Edward I. George Robert McCulloch
+	A continuous-time stochastic block model for basketball networks	2017	Xin Lü Mu Zhu Hugh Chipman
+	Heteroscedastic BART Using Multiplicative Regression Trees	2017	Matthew T. Pratola Hugh Chipman Edward I. George Robert McCulloch
+	High-dimensional nonparametric monotone function estimation using BART	2016	Hugh Chipman Edward I. George Robert E. McCulloch Thomas S. Shively
+	mBART: Multidimensional Monotone BART	2016	Hugh Chipman Edward I. George Robert E. McCulloch Thomas S. Shively
+	A Conversation with Jeff Wu	2016	Hugh Chipman V. Roshan Joseph
+	Using Bayesian Variable Selection to Analyze Regular Resolution IV Two‐level Fractional Factorial Designs	2016	Hugh Chipman Michael S. Hamada
+ PDF Chat	Bayes and big data: the consensus Monte Carlo algorithm	2016	Steven L. Scott Alexander W. Blocker Fernando V. Bonassi Hugh Chipman Edward I. George Robert E. McCulloch
+	mBART: Multidimensional Monotone BART	2016	Hugh Chipman Edward I. George Robert E. McCulloch Thomas S. Shively
+	<b>GPfit</b>: An<i>R</i>Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs	2015	Blake MacDonald Pritam Ranjan Hugh Chipman
+ PDF Chat	Monotone Emulation of Computer Experiments	2015	Shirin Golchi Derek Bingham Hugh Chipman David A. Campbell
+	A Continuous-time Stochastic Block Model for Basketball Networks	2015	Lü Xin Mu Zhu Hugh Chipman
+ PDF Chat	Parallel Bayesian Additive Regression Trees	2014	Matthew T. Pratola Hugh Chipman James Gattiker David Higdon Robert McCulloch William N. Rust
+	Monotone Function Estimation for Computer Experiments	2013	Shirin Golchi Derek Bingham Hugh Chipman David A. Campbell
+	Parallel Bayesian Additive Regression Trees	2013	Matthew T. Pratola Hugh Chipman James Gattiker David Higdon Robert McCulloch William N. Rust
+	Bayesian treed response surface models	2013	Hugh Chipman Edward I. George Robert B. Gramacy Robert McCulloch
+ PDF Chat	GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm	2013	Blake MacDonald Pritam Ranjan Hugh Chipman
+	A new Bayesian ensemble of trees classifier for identifying multi-class labels in satellite images	2013	Reshu Agarwal Pritam Ranjan Hugh Chipman
+	Bayesian regression structure discovery	2013	Hugh Chipman Edward I. George Robert E. McCulloch
+	Parallel Bayesian Additive Regression Trees	2013	Matthew T. Pratola Hugh Chipman James Gattiker David Higdon Robert McCulloch William N. Rust
+	A new Bayesian ensemble of trees classifier for identifying multi-class labels in satellite images	2013	Reshu Agarwal Pritam Ranjan Hugh Chipman
+	Monotone Function Estimation for Computer Experiments	2013	Shirin Golchi Derek Bingham Hugh Chipman David A. Campbell
+ PDF Chat	Sequential design for computer experiments with a flexible Bayesian additive model	2012	Hugh Chipman Pritam Ranjan Weiwei Wang
+	In Memoriam: Harry Smith, Jr.	2012	Hugh Chipman
+	A Short Note on Gaussian Process Modeling for Large Datasets using Graphics Processing Units	2012	Mark Franey Pritam Ranjan Hugh Chipman
+	Sequential Design for Computer Experiments with a Flexible Bayesian Additive Model	2012	Hugh Chipman Pritam Ranjan Weiwei Wang
+ PDF Chat	Mixed-Membership Stochastic Block-Models for Transactional Networks	2010	Mahdi Shafiei Hugh Chipman
+	Mixed-Membership Stochastic Block-Models for Transactional Networks	2010	Mahdi Shafiei Hugh Chipman
+	Comment	2010	Hugh Chipman Robert J. MacKay Stefan Steiner
+ PDF Chat	Branch and bound algorithms for maximizing expected improvement functions	2010	Mark Franey Pritam Ranjan Hugh Chipman
+	Branch and Bound Algorithms for Maximizing Expected Improvement Functions	2010	Mark Franey Pritam Ranjan Hugh Chipman
+ PDF Chat	BART: Bayesian additive regression trees	2010	Hugh Chipman Edward I. George Robert E. McCulloch
+	Branch and Bound Algorithms for Maximizing Expected Improvement Functions	2010	Mark Franey Pritam Ranjan Hugh Chipman
+	Mixed-Membership Stochastic Block-Models for Transactional Networks	2010	Mahdi Shafiei Hugh Chipman
+	On the underestimation of model uncertainty by Bayesian K-nearest neighbors	2008	Wanhua Su Hugh Chipman Mu Zhu
+ PDF Chat	Bayesian Ensemble Learning	2007	Hugh Chipman Edward I. George Robert E. McCulloch
+	Prior Distributions for Bayesian Analysis of Screening Experiments	2006	Hugh Chipman
+ PDF Chat	LAGO: A Computationally Efficient Approach for Statistical Detection	2006	Mu Zhu Wanhua Su Hugh Chipman
+	Bayesian Additive Regression Trees	2006	Hugh Chipman Edward I. George Robert E. McCulloch
+	Interpretable dimension reduction	2005	Hugh Chipman Hong Gu
+	Bayesian Treed Generalized Linear Models	2003	Hugh Chipman Edward I. George Roberte.E Mcculloch
+	Mining Nuggets of Activity in High Dimensional Space from High Throughput Screening Data	2002	Yuanyuan Wang Hugh Chipman William J. Welch
+ PDF Chat	None	2002	Hugh Chipman Edward I. George Robert E. McCulloch
+ PDF Chat	The Practical Implementation of Bayesian Model Selection	2001	Hugh Chipman Edward I. George Robert E. McCulloch
+	Some Risks in the Construction and Analysis of Supersaturated Designs	1999	B. Abraham Hugh Chipman K. Vijayan
+	Prior Elicitation in the Wavelet Domain	1999	Hugh Chipman Lara J. Wolfson
+ PDF Chat	Bayesian CART Model Search	1998	Hugh Chipman Edward I. George Robert E. McCulloch
+ PDF Chat	Bayesian CART Model Search	1998	Hugh Chipman Edward I. George Robert E. McCulloch
+	Fast Model Search for Designed Experiments with Complex Aliasing	1998	Hugh Chipman
+	Adaptive Bayesian Wavelet Shrinkage	1997	Hugh Chipman Eric D. Kolaczyk Robert E. McCulloch
+	A Bayesian Variable-Selection Approach for Analyzing Designed Experiments with Complex Aliasing	1997	Hugh Chipman Michael S. Hamada C. F. Jeff Wu
+	A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing	1997	Hugh Chipman Michael S. Hamada Changbao Wu
+	Discussion: Factor-Based or Effect-Based Modeling? Implications for Design	1996	Hugh Chipman Michael S. Hamada
+	Discussion: Factor-Based or Effect-Based Modeling? Implications for Design	1996	Hugh Chipman Michael S. Hamada
+ PDF Chat	Bayesian variable selection with related predictors	1996	Hugh Chipman
+	Bayesian Analysis of Ordered Categorical Data from Industrial Experiments	1996	Hugh Chipman Michael S. Hamada
+	Bayesian Analysis of Ordered Categorical Data From Industrial Experiments	1996	Hugh Chipman Michael S. Hamada
+	Bayesian Variable Selection with Related Predictors	1995	Hugh Chipman

Common Coauthors

Coauthor	Papers Together
Edward I. George	19
Robert E. McCulloch	15
Pritam Ranjan	10
Robert McCulloch	8
Matthew T. Pratola	8
Michael S. Hamada	7
Derek Bingham	5
Mark Franey	4
Thomas S. Shively	4
James Gattiker	3
Shirin Golchi	3
William N. Rust	3
David A. Campbell	3
David Higdon	3
Mu Zhu	3
Mahdi Shafiei	3
Reshu Agarwal	2
Weiwei Wang	2
Blake MacDonald	2
Wanhua Su	2
Gabriele Ascari	1
Yuanyuan Wang	1
Mu Zhu	1
Xin Lü	1
Stefan Steiner	1
Roberte.E Mcculloch	1
R. L. Hahn	1
Lü Xin	1
B. Abraham	1
K. Vijayan	1
Hong Gu	1
Joep Burger	1
Wesley Yung	1
S. M. Tam	1
V. Roshan Joseph	1
Eric D. Kolaczyk	1
Fabiana Rocci	1
Bart Buelens	1
Alexander W. Blocker	1
Robert J. MacKay	1
Lara J. Wolfson	1
William J. Welch	1
Changbao Wu	1
Steven L. Scott	1
Fernando V. Bonassi	1
Inkyung Choi	1
Florian Dumpert	1
Robert B. Gramacy	1
C. F. Jeff Wu	1
Rodney Sparapani	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Bayesian CART Model Search	1998	Hugh Chipman Edward I. George Robert E. McCulloch	13
+ PDF Chat	BART: Bayesian additive regression trees	2010	Hugh Chipman Edward I. George Robert E. McCulloch	11
+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch	10
+ PDF Chat	Bayesian variable selection with related predictors	1996	Hugh Chipman	9
+	Analysis of Designed Experiments with Complex Aliasing	1992	Michael S. Hamada Changbao Wu	8
+	Bayesian Treed Gaussian Process Models With an Application to Computer Modeling	2008	Robert B. Gramacy Herbert K. H. Lee	7
+	Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods	1993	A. F. M. Smith Gareth O. Roberts	7
+ PDF Chat	None	2002	Hugh Chipman Edward I. George Robert E. McCulloch	7
+	APPROACHES FOR BAYESIAN VARIABLE SELECTION	1997	Edward I. George Robert E. McCulloch	6
+	A Bayesian Variable-Selection Approach for Analyzing Designed Experiments with Complex Aliasing	1997	Hugh Chipman Michael S. Hamada C. F. Jeff Wu	5
+	Bayesian Analysis of Binary and Polychotomous Response Data	1993	James H. Albert Siddhartha Chib	5
+ PDF Chat	Dynamic Trees for Learning and Design	2011	Matthew A. Taddy Robert B. Gramacy Nicholas G. Polson	5
+ PDF Chat	A Computationally Stable Approach to Gaussian Process Interpolation of Deterministic Computer Simulation Data	2011	Pritam Ranjan Ronald D. Haynes Richard Karsten	5
+ PDF Chat	Bayesian Model Averaging for Linear Regression Models	1997	Adrian E. Raftery David Madigan Jennifer A. Hoeting	5
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	5
+	Sampling-Based Approaches to Calculating Marginal Densities	1990	Alan E. Gelfand A. F. M. Smith	5
+ PDF Chat	Estimating Smooth Monotone Functions	1998	J. O. Ramsay	5
+	Bayesian CART: Prior Specification and Posterior Simulation	2007	Yuhong Wu Håkon Tjelmeland Mike West	4
+	Bayesian regression structure discovery	2013	Hugh Chipman Edward I. George Robert E. McCulloch	4
+	Finding the Active Factors in Fractionated Screening Experiments	1993	George E. P. Box R. Daniel Meyer	4
+	Efficient Metropolis–Hastings Proposal Mechanisms for Bayesian Regression Tree Models	2016	Matthew T. Pratola	4
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	4
+ PDF Chat	Bayesian monotone regression using Gaussian process projection	2014	Lin Lu David B. Dunson	4
+	Modern Applied Statistics with S	2002	W. N. Venables B. D. Ripley	4
+ PDF Chat	Bayesian Model Averaging for Linear Regression Models	1997	Adrian E. Raftery David Madigan Jennifer A. Hoeting	3
+	A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing	1997	Hugh Chipman Michael S. Hamada Changbao Wu	3
+ PDF Chat	Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity	2018	Antonio R. Linero Yun Yang	3
+	Estimating a Smooth Monotone Regression Function	1991	Enno Mammen	3
+ PDF Chat	Bayesian backfitting (with comments and a rejoinder by the authors	2000	Trevor Hastie Robert Tibshirani	3
+	Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning	2013	Robert B. Gramacy Matt Taddy Stefan M. Wild	3
+ PDF Chat	Posterior concentration for Bayesian regression trees and forests	2020	Veronika Ročková Stéphanie van der Pas	3
+	Bayesian Multivariate Isotonic Regression Splines	2007	Bo Cai David B. Dunson	3
+	Bayesian estimation and inference for generalised partial linear models using shape-restricted splines	2011	Mary C. Meyer Amber J. Hackstadt Jennifer A. Hoeting	3
+	<b>bartMachine</b>: Machine Learning with Bayesian Additive Regression Trees	2016	Adam Kapelner Justin Bleich	3
+	Statistical Methods for High Throughput Screening Drug Discovery Data	2005	Yuanyuan Wang	3
+ PDF Chat	Cases for the nugget in modeling computer experiments	2010	Robert B. Gramacy Herbert K. H. Lee	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+	Ideal spatial adaptation by wavelet shrinkage	1994	David L. Donoho Iain M. Johnstone	3
+	Bayesian Variable Selection in Linear Regression	1988	Toby J. Mitchell John J. Beauchamp	3
+	Detection of Influential Observation in Linear Regression	2000	R. Dennis Cook	3
+ PDF Chat	Visualizable and interpretable regression models with good prediction power	2007	Hyunjoong Kim Wei‐Yin Loh Yu‐Shan Shih Probal Chaudhuri	3
+	Generalized monotonic regression using random change points	2003	Chris Holmes Nicholas A. Heard	3
+	THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS	1946	R. L. Plackett J. P. Burman	3
+	Accurate Approximations for Posterior Moments and Marginal Densities	1986	Luke Tierney Joseph B. Kadane	3
+ PDF Chat	Generalized Additive and Index Models with Shape Constraints	2015	Yining Chen Richard J. Samworth	3
+ PDF Chat	Bayesian Isotonic Regression and Trend Analysis	2004	Brian Neelon David B. Dunson	3
+	A nonparametric Bayes method for isotonic regression	1995	Michael Lavine Audris Mockus	3
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+	Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification	1997	Radford M. Neal	2
+	Follow-Up Designs to Resolve Confounding in Multifactor Experiments	1996	R. Daniel Meyer David M. Steinberg George E. P. Box	2