Education: PhD, U.C. Berkeley; MA, U.C. Berkeley; MS, M.I.T.; BA, Carroll College, MTResearch Fields: Theoretical Statistics, Econometrics, Integration of Economic Models, Machine Learning, and Operations ResearchResearch Interests: High-Dimensional Estimation and Inference, Nonasymptotic Statistics, Semiparametric and Nonparametric Methods, Panel/Longitudinal Data Analysis (with Both i.i.d. and Temporal Features), Integration of Economic Models and Machine Learning, Causal Inference, Bayesian MethodsPublications - Inference in Approximately Sparse Correlated Random Effects Probit Models with Panel Data by Jeffrey Wooldridge, Ying Zhu (alphabetical author ordering) - The Journal of Business & Economic Statistics, 38, 1-18, 2020 (rejoinder appears in 25-26).
- High Dimensional Inference in Partially Linear Models by Ying Zhu, Zhuqing Yu, Guang Cheng, AISTATS 2019, PMLR, 89, 2760-2769.
- Sparse Linear Models and l1-Regularized 2SLS with High-Dimensional Endogenous Regressors and Instruments {Additional materials from 2013} by Ying Zhu - The Journal of Econometrics, 202, 196-213, 2018
- Nonasymptotic Analysis of Semiparametric Regression Models with High-Dimensional Parametric Coefficients {Supplementary materials} by Ying Zhu - The Annals of Statistics, 45, 2274–2298, 2017
- Nonparametric Density Estimation Based on Truncated Mean {Supplementary materials} by Ying Zhu - Statistics and Probability Letters, 83, 445-451, 2013
Working Papers
PhD Dissertation Endogenous Econometric Models and Multi-Stage Estimation in High-Dimensional Settings: Theory and Applications - University of California, Berkeley, Spring 2015 PhD
Dissertation Committee Chairs: James Powell (Economics), J. Miguel Villas-Boas
(Haas School of Business) PhD
Dissertation Committee Members: Martin Wainwright (Statistics and EECS), Ganesh
Iyer (Haas School of Business), Przemyslaw Jeziorski (Haas School of Business),
Demian Pouzo (Economics)
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