Changwoo J. Lee

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All published works

Action	Title	Year	Authors
+ PDF Chat	Marginally interpretable spatial logistic regression with bridge processes	2024	Changwoo J. Lee David B. Dunson
+	A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology	2024	Changwoo J. Lee Elaine Symanski Amal Rammah Dong Hun Kang Philip K. Hopke Eun Sug Park
+ PDF Chat	Logistic-beta processes for modeling dependent random probabilities with beta marginals	2024	Changwoo J. Lee Alessandro Zito Huiyan Sang David B. Dunson
+	A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology	2024	Changwoo J. Lee Elaine Symanski Amal Rammah Dong Hun Kang Philip K. Hopke Eun Sug Park
+	Loss-based Objective and Penalizing Priors for Model Selection Problems	2023	Changwoo J. Lee
+	Why the Rich Get Richer? On the Balancedness of Random Partition Models	2022	Changwoo J. Lee Huiyan Sang
+	Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems	2022	Hyunwoong Chang Changwoo J. Lee Zhao Tang Luo Huiyan Sang Quan Zhou
+ PDF Chat	T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs	2021	Changwoo J. Lee Zhao Tang Luo Huiyan Sang

Common Coauthors

Coauthor	Papers Together
Huiyan Sang	4
Amal Rammah	2
Dong Hun Kang	2
Zhao Tang Luo	2
Philip K. Hopke	2
Elaine Symanski	2
David B. Dunson	2
Eun Sug Park	2
Alessandro Zito	1
Quan Zhou	1
Hyunwoong Chang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fast Sampling of Gaussian Markov Random Fields	2001	Håvard Rue	2
+	Statistical Learning with Sparsity	2015	Trevor Hastie Robert Tibshirani Martin J. Wainwright	1
+	Space and Space-Time Modeling using Process Convolutions	2002	Dave Higdon	1
+ PDF Chat	Adaptive estimation of a quadratic functional by model selection	2000	Béatrice Laurent Pascal Massart	1
+	APPROACHES FOR BAYESIAN VARIABLE SELECTION	1997	Edward I. George Robert E. McCulloch	1
+ PDF Chat	Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets	2015	Abhirup Datta Sudipto Banerjee Andrew O. Finley Alan E. Gelfand	1
+	<b>spam</b>: A Sparse Matrix<i>R</i>Package with Emphasis on MCMC Methods for Gaussian Markov Random Fields	2010	Reinhard Furrer Stephan R. Sain	1
+ PDF Chat	Modularization in Bayesian analysis, with emphasis on analysis of computer models	2009	M. J. Bayarri James O. Berger F. Liu	1
+ PDF Chat	Penalized regression, standard errors, and Bayesian lassos	2010	George Casella Malay Ghosh Jeff Gill Minjung Kyung	1
+	A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion	1995	Robert E. Kass Larry Wasserman	1
+ PDF Chat	Feature grouping and selection over an undirected graph	2012	Sen Yang Lei Yuan Ying‐Cheng Lai Xiaotong Shen Peter Wonka Jieping Ye	1
+ PDF Chat	An Adaptive Metropolis Algorithm	2001	Heikki Haario Eero Saksman J. Tamminen	1
+ PDF Chat	Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph	2013	Yunzhang Zhu Xiaotong Shen Wei Pan	1
+ PDF Chat	Bayesian Compressed Regression	2014	Rajarshi Guhaniyogi David B. Dunson	1
+ PDF Chat	Gaussian Predictive Process Models for Large Spatial Data Sets	2008	Sudipto Banerjee Alan E. Gelfand Andrew O. Finley Huiyan Sang	1
+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch	1
+	Mixtures of <i>g</i> Priors for Bayesian Variable Selection	2008	Feng Liang Rui Paulo Germán Molina Merlise A. Clyde James O. Berger	1
+	Bayesian Detection of Clusters and Discontinuities in Disease Maps	2000	Leonhard Knorr‐Held Günter Raßer	1
+ PDF Chat	Objective Criteria for the Evaluation of Clustering Methods	1971	Telmo Menezes Camille Roth	1
+ PDF Chat	A Robust Generalized Bayes Estimator and Confidence Region for a Multivariate Normal Mean	1980	James O. Berger	1
+ PDF Chat	Proper Bayes Minimax Estimators of the Multivariate Normal Mean	1971	William E. Strawderman	1
+ PDF Chat	Properties and refinements of the fused lasso	2009	Alessandro Rinaldo	1
+ PDF Chat	Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables	2013	Nicholas G. Polson James G. Scott Jesse Windle	1
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	1
+	Bayesian Analysis of Binary and Polychotomous Response Data	1993	James H. Albert Siddhartha Chib	1
+	Cuts in Bayesian graphical models	2014	Martyn Plummer	1
+	The horseshoe estimator for sparse signals	2010	Carla M. Carvalho Nick Polson James G. Scott	1
+	The Bayesian Bridge	2013	Nicholas G. Polson James G. Scott Jesse Windle	1
+	Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory	2010	Sumio Watanabe	1
+ PDF Chat	The Bayesian Two-Sample<i>t</i>Test	2005	Mithat Gönen Wesley O. Johnson Yonggang Lu Peter H. Westfall	1
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	1
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	1
+ PDF Chat	Measurement error caused by spatial misalignment in environmental epidemiology	2008	Alexandros Gryparis Christopher J. Paciorek Ariana Zeka Joel Schwartz Brent A. Coull	1
+	Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction*	2011	Nicholas G. Polson James G. Scott	1
+	Fused Lasso Approach in Regression Coefficients Clustering - Learning Parameter Heterogeneity in Data Integration.	2016	Lu Tang Peter X.‐K. Song	1
+	Spatial regression and estimation of disease risks: A clustering‐based approach	2016	Wenning Feng Chae Young Lim Tapabrata Maiti Zhen Zhang	1
+ PDF Chat	Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes	2018	Andrew O. Finley Abhirup Datta Bruce D. Cook Douglas C. Morton Hans E. Andersen Sudipto Banerjee	1
+	Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets	2018	Furong Li Huiyan Sang	1
+ PDF Chat	Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach	2019	Michela Cameletti Virgilio Gómez‐Rubio Marta Blangiardo	1
+	Scalar-on-image regression via the soft-thresholded Gaussian process	2017	Jian Kang Brian J. Reich Ana‐Maria Staicu	1
+	On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior	2016	Juho Piironen Aki Vehtari	1
+	Trend filtering on graphs	2016	Yu-Xiang Wang James Sharpnack Alexander J. Smola Ryan J. Tibshirani	1
+ PDF Chat	Bayesian Fusion Estimation via t Shrinkage	2019	Qifan Song Guang Cheng	1
+	Functional Horseshoe Priors for Subspace Shrinkage	2019	Minsuk Shin Anirban Bhattacharya Valen E. Johnson	1
+ PDF Chat	Lasso Meets Horseshoe: A Survey	2019	Anindya Bhadra Jyotishka Datta Nicholas G. Polson Brandon T. Willard	1
+	Bayesian Methods for Factor Analysis in Chemometrics	2020	Eun Sug Park Romà Tauler	1
+	Scalable Approximate MCMC Algorithms for the Horseshoe Prior	2020	James E. Johndrow Paulo Orenstein Anirban Bhattacharya	1
+	Slice Sampling	2000	Radford M. Neal	1
+	Bayesian Model Selection with Graph Structured Sparsity	2019	Young‐Seok Kim Chao Gao	1
+ PDF Chat	Bayesian generalized fused lasso modeling via NEG distribution	2018	Kaito Shimamura Masao Ueki Shuichi Kawano Sadanori Konishi	1