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Jingyu He
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Zitiert von
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Jahr
Deep learning for predicting asset returns
G Feng, J He, NG Polson
arXiv preprint arXiv:1804.09314, 2018
1152018
Regularization and confounding in linear regression for treatment effect estimation
PR Hahn, CM Carvalho, D Puelz, J He
Bayesian Analysis 13 (1), 163-182, 2018
1112018
Deep Learning in Characteristics-Sorted Factor Models
G Feng, J He, N Polson, J Xu
Available on SSRN 3243683, 2022
85*2022
XBART: Accelerated bayesian additive regression trees
J He, S Yalov, PR Hahn
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
722019
Efficient sampling for Gaussian linear regression with arbitrary priors
PR Hahn, J He, H Lopes
Journal of Computational and Graphical Statistics, 2018
48*2018
Stochastic tree ensembles for regularized nonlinear regression
J He, PR Hahn
Journal of the American Statistical Association 118 (541), 551-570, 2023
34*2023
Growing the Efficient Frontier on Panel Trees
LW Cong, G Feng, J He, X He
27*2023
Factor investing: A Bayesian hierarchical approach
G Feng, J He
Journal of Econometrics 230 (1), 183-200, 2022
24*2022
Bayesian factor model shrinkage for linear IV regression with many instruments
PR Hahn, J He, H Lopes
Journal of Business & Economic Statistics 36 (2), 278-287, 2018
232018
Sparse Modeling Under Grouped Heterogeneity with an Application to Asset Pricing
LW Cong, G Feng, J He, J Li
National Bureau of Economic Research, 2023
13*2023
Stochastic tree ensembles for estimating heterogeneous effects
N Krantsevich, J He, PR Hahn
International Conference on Artificial Intelligence and Statistics, 6120-6131, 2023
112023
Data Augementation with Polya Inverse Gamma
J He, NG Polson, J Xu
arXiv preprint arXiv:1905.12141, 2019
8*2019
Local Gaussian process extrapolation for BART models with applications to causal inference
M Wang, J He, PR Hahn
https://arxiv.org/abs/2204.10963, 2022
72022
Accelerated Bayesian Reciprocal LASSO
E Paul, J He, H Mallick
Communications in Statistics-Simulation and Computation, 1-17, 2023
2023
XBART: A Scalable Stochastic Algorithm for Supervised Machine Learning with Additive Tree Ensembles
J He
The University of Chicago, 2020
2020
Statement of Research
W Chen
Computer Vision, Graphics, and Image Processing 52 (2), 264-275, 1990
1990
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