Ying Zhu
Education: PhD from U.C. Berkeley; MS from MIT; BA from Carroll College MT
Employment: Assistant Professor of Economics at UCSD (current), Assistant Professor of Statistics and Computer Science at Purdue University, West Lafayette (previous)
Research Interests: High-Dimensional Estimation and Inference, Nonasymptotic Statistics, Semiparametric and Nonparametric Methods, Mathematical Foundations of Statistical Learning, Data Driven Robust Mechanism Design
Publications and Accepted Papers
Phase transitions in nonparametric regressions by Ying Zhu - Accepted at Journal of Econometrics, 2023
Omitted Variable Bias of Lasso-Based Inference Methods: A Finite Sample Analysis by Kaspar Wuthrich, Ying Zhu (alphabetical ordering) - The Review of Economics and Statistics, 2023
Inference in Approximately Sparse Correlated Random Effects Probit Models with Panel Data by Jeffrey Wooldridge, Ying Zhu (alphabetical ordering) - The Journal of Business & Economic Statistics, 2020
High Dimensional Inference in Partially Linear Models by Ying Zhu, Zhuqing Yu, Guang Cheng, AISTATS 2019
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, 2018
Nonasymptotic Analysis of Semiparametric Regression Models with High-Dimensional Parametric Coefficients by Ying Zhu - The Annals of Statistics, 2017
Nonparametric Density Estimation Based on Truncated Mean by Ying Zhu - Statistics and Probability Letters, 2013
Working Papers
Permutation invariant functions: statistical tests, dimension reduction in metric entropy and estimation by Wee Chaimanowong, Ying Zhu (alphabetical ordering)
Information-theoretic limitations of data-based price discrimination by Haitian Xie, Ying Zhu, Denis Shishkin (Xie and Zhu share the first authorship). Revise & Resubmit at Theoretical Economics
Classes of ODE Solutions: Smoothness, Covering Numbers, Implications for Noisy Function Fitting, and a "Loss of Smoothness" Phenomenon by Ying Zhu, Mozhgan Mirzaei
Statistical Inference and Feasibility Determination: A Nonasymptotic Approach by Ying Zhu
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)
M.S. Thesis
Evaluating Airline Delays: The Role of Airline Networks, Schedules, and Passenger Demands - School of Engineering, Massachusetts Institute of Technology, Feb. 2009, supervised by Cynthia Barnhart