Bayesian Nonparametrics with Gaussian Process Priors
Bayesian Nonparametrics with Gaussian Process Priors
Variable Selection Consistency of Gaussian Process Regression (with Surya T. Tokdar)
The Annals of Statistics, 2021
Heavy Tailed Density Estimation (with Surya T. Tokdar, and Erika L. Cunningham)
The Journal of the American Statistical Association, 2024
Ordinal Mixed-input Gaussian Process Regression (with Penghui Fu, Xinye Chen, Jianhua Huang)
in preparation
Martingale Posteriors for Discretely Observed Diffusions (with Jingning Yao, Ajay Jasra)
submitted
[arXiv] [slides]
Post-Corrected Raw-Score Martingale Posterior Sampling for von Mises-Fisher Models (with Yi Xu, Xinye Chen)
submitted
[arXiv] [slides] [GitHub] for the R package "bayesdir"
Variational Bayes for Group Variable Selection in High-Dimensional Linear Regression (with Bruno Sanso)
in preparation
[arXiv] [slides]
Bayesian Oceanographic Flow Cytometry Data Analysis with Censorship (with Sangwon Hyun)
in preparation
[arXiv] [slides] [GitHub] for the R package "flowcut"
Occurrence and distribution of hexavalent chromium in groundwater from North Carolina, USA (with Rachel M.Coyte, Kristen L.McKinley, Jonathan Karr, Gary S.Dwyer, Amy J. Keyworth, Christina C. Davis, Andrew J. Kondash, Avner Vengosh)
Science of The Total Environment, 2020
Estimating returns to education in urban China: Evidence from a natural experiment in schooling reform (with Yi Chen and Li'an Zhou)
Journal of Comparative Economics, 2020
[J.Comp.Econ.] [media] (in Chinese)