Ying Zhu
Graduate Education: PhD, MA (U.C. Berkeley), MS (MIT)
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
About my work: I enjoy mathematics and would tackle problems I find interesting and am capable of solving. Often, these problems have important implications to economics and econometrics.
Publications and Accepted Papers
**: Papers that are either single authored or co-authored with a student or a junior faculty member at the time of acceptance
On the limitations of data-based price discrimination** by Haitian Xie, Ying Zhu, Denis Shishkin (Xie and Zhu share the first authorship and are listed alphabetically).
Accepted at Theoretical Economics
An extended abstract forthcoming in ACM Economics and Computation 2024 (full paper peer refereed)
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, density estimation, and computationally efficient embedding** by Wee Chaimanowong, Ying Zhu (alphabetical ordering)
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