Jingyu He
Jingyu He
Verifierad e-postadress på cityu.edu.hk - Startsida
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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
462018
Deep learning for predicting asset returns
G Feng, J He, NG Polson
arXiv preprint arXiv:1804.09314, 2018
372018
Efficient sampling for Gaussian linear regression with arbitrary priors
PR Hahn, J He, H Lopes
Journal of Computational and Graphical Statistics, 2018
30*2018
XBART: Accelerated bayesian additive regression trees
J He, S Yalov, PR Hahn
The 22nd International Conference on Artificial Intelligence and Statistics, 2019
28*2019
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
162018
Stochastic tree ensembles for regularized nonlinear regression
J He, PR Hahn
arXiv preprint arXiv:2002.03375, 2020
9*2020
Factor Investing: Hierarchical Ensemble Learning
G Feng, J He
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3326617, 2019
72019
Bayesian Inference for Polya Inverse Gamma Models
C Glynn, J He, N Polson, J Xu
arXiv preprint arXiv:1905.12141, 2019
32019
XBART: A Scalable Stochastic Algorithm for Supervised Machine Learning with Additive Tree Ensembles
J He
PQDT-UK & Ireland, 2020
2020
Supplement to “XBART: Accelerated Bayesian Additive Regression Trees”
J He, S Yalov, PR Hahn
2019
bayeslm: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors
PR Hahn, J He, H Lopes
http://cran.ma.imperial.ac.uk/web/packages/bayeslm/bayeslm.pdf, 2018
2018
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Artiklar 1–11