Starry Night and the Astronauts, Alma Thomas (1972)

Working Paper

  1. Christopher Glynn, Jingyu He, Nicholas Polson and Jianeng Xu (2019). Bayesian Inference for Polya Inverse Gamma Models.

  2. Guanhao Feng, Jingyu He and Nicholas G. Polson (2018). Deep Learning for Predicting Asset Returns.

  3. Guanhao Feng and Jingyu He (2018). Factor Investing: Hierarchical Ensemble Learning.

Working in Progress

  1. Deep Learning Particle Filtering, with Nicholas Polson and Yuexi Wang.

  2. Scalable Bayesian Tree-based Models for Supervised Machine Learning, with Saar Yalov, Jared Murray and P. Richard Hahn.

  3. Hierarchical Mixture Models with Elliptical Slice Sampling, with Sanjog Misra and Peter Rossi.


  1. Jingyu He, Saar Yalov and P. Richrad Hahn (2019). XBART: Accelerated Bayesian Additive Regression Trees. The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS). slides, poster, package: XBART.

  2. P. Richrad Hahn, Jingyu He and Hedibert Lopes (2019). Efficient sampling for Gaussian linear regression with arbitrary priors. Journal of Computational and Graphical Statistics 28.1 (2019): 142-154. R package : bayeslm, Demo Script.

  3. P. Richard Hahn, Carlos M. Carvalho, Jingyu He and David Puelz (2018). Regularization and confounding in linear regression for treatment effect estimation. Bayesian Analysis 13 (1), 163-182.

  4. P. Richrad Hahn, Jingyu He and Hedibert Lopes (2018). Bayesian factor model shrinkage for linear IV regression with many instruments. Journal of Business and Economic Statistics 36 (2), 278-287.



2020 ICSA 2020 Applied Statistics Symposium, Houston.


2019 China International Conference in Finance, Guangzhou.
2019 International Conference on FinTech, Shanghai Jiao Tong University.
NBER-NSF Seminar on Bayesian Inference in Econometrics and Statistics, Brown University.
China R Conference, Renmin University.
R in Finance, University of Illinois at Chicago.
Econometrics and Statistics Lunch Seminar, University of Chicago Booth School of Business.


Joint Statistical Meetings, Baltimore.


NBER-NSF Seminar on Bayesian Inference in Econometrics and Statistics, Wharton.
International Society of Bayesian Analysis World Meeting, Sardinia, Italy.