‪Yuxiang Gao‬ - ‪Google Scholar‬

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Co-authors

Daniel SimpsonNormal ComputingVerified email at normalcomputing.ai
Lauren KennedyLecturer,Computer and Mathematical Sciences, University of AdelaideVerified email at adelaide.edu.au
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Daniel Flam-ShepherdUniversity of TorontoVerified email at cs.toronto.edu

Yuxiang Gao

Yuxiang Gao

University of Toronto

Verified email at utstat.toronto.edu

Bayesian Statistics Surveys Spatial Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Improving multilevel regression and poststratification with structured priors Y Gao, L Kennedy, D Simpson, A Gelman Bayesian Analysis 16 (3), 719, 2021	51	2021
Treatment effect estimation with Multilevel Regression and Poststratification Y Gao, L Kennedy, D Simpson arXiv preprint arXiv:2102.10003, 2021	4	2021
Stick-Breaking Neural Latent Variable Models D Flam-Shepherd, Y Gao, Z Guo NeurIPS Workshop on Bayesian Deep Learning, 2018	1	2018
Advances in Multilevel Regression and Poststratification for non-representative data modeling Y Gao University of Toronto (Canada), 2022		2022

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