Changwoo J. Lee

2022202320244 13 4

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Huiyan SangTexas A&M UniversityVerified email at stat.tamu.edu
Zhao Tang LuoVerified email at stat.tamu.edu
Hyunwoong ChangGraduate Student, Department of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
Quan ZhouStatistics, Texas A&M UniversityVerified email at stat.tamu.edu
Eun Sug ParkSenior Research Scientist, Texas A&M Transportation InstituteVerified email at tti.tamu.edu
Philip K. HopkeClarkson UniversityVerified email at clarkson.edu
Alessandro ZitoHarvard T.H. Chan School of Public HealthVerified email at hsph.harvard.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu

Changwoo J. Lee

Verified email at stat.tamu.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Why the Rich Get Richer? On the Balancedness of Random Partition Models CJ Lee, H Sang International Conference on Machine Learning (ICML), 2022	8	2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems H Chang, CJ Lee, ZT Luo, H Sang, Q Zhou Advances in Neural Information Processing Systems (NeurIPS) 35, 2022	7	2022
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs CJ Lee, ZT Luo, H Sang Advances in Neural Information Processing Systems (NeurIPS) 34, 2021	6	2021
Logistic-beta processes for modeling dependent random probabilities with beta marginals CJ Lee, A Zito, H Sang, DB Dunson arXiv preprint arXiv:2402.07048, 2024		2024
A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology CJ Lee, E Symanski, A Rammah, DH Kang, PK Hopke, ES Park arXiv preprint arXiv:2401.00634, 2024		2024
Loss-based Objective and Penalizing Priors for Model Selection Problems CJ Lee arXiv preprint arXiv:2311.13347, 2023		2023
Appendix of “T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs CJ Lee, ZT Luo, H Sang

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