Ying Zhu

Ying Zhu

I am an assistant professor of Statistics and Computer Science at Purdue University, West Lafayette. My research interests are at the intersections of statistics, economics and econometrics, machine learning, operations research and business analytics. I am looking for PhD students. If you are interested, please send an email to yingzhu@purdue.edu

Education: PhD in Business Administration, U.C. Berkeley (2010-2015); MA in Statistics, U.C. Berkeley (2012-2013); MS in Civil and Environmental Engineering (Transportation Operations Research), M.I.T.; BA in Mathematics, Carroll College, MT

Current Employment: Assistant Professor of Statistics and Computer Science, Dept. of Statistics, Dept. of Computer Science, Purdue University, West Lafayette (August 2018 – Present)

Former Employment: Research Associate in “Big Data Analytics”, Dept. of Economics, Social Science Data Analytics Initiative, Michigan State University, MI (September 2015 – August 2018)

Methodological 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 Structural Modeling and Machine Learning, Causal Inference, Bayesian Methods

Applicational Interests: Social Science and Business in general such as Education, Healthcare, Industrial Organization, Management, Marketing Strategy, Trade and Growth, Transportation Economics

Curriculum Vitae

Publications

Inference in Approximately Sparse Correlated Random Effects Probit Models with Panel Data by Jeffrey Wooldridge, Ying Zhu (alphabetical author ordering) - Forthcoming in The Journal of Business & Economic Statistics
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

Concentration Based Inference in High Dimensional (Generalized) Regression Models: New Phenomena in Hypothesis Testing by Ying Zhu
High Dimensional Inference in Partially Linear Models by Ying Zhu, Zhuqing Yu, Guang Cheng
Inference in Linear Models with Correlated Random Effects and Unbalanced Panel Data by Jeffrey Wooldridge, Ying Zhu (alphabetical author ordering)
Behavior of Pooled and Joint Estimators in Probit Model with Random Coefficients and Serial Correlation by Alyssa Carlson, Jeffrey Wooldridge, Ying Zhu

PhD Dissertation
Endogenous Econometric Models and Multi-Stage Estimation in High-Dimensional Settings: Theory and Applications - University of California, Berkeley, Spring 2015

M.S. Thesis
Evaluating Airline Delays: The Role of Airline Networks, Schedules, and Passenger Demands - School of Engineering, Massachusetts Institute of Technology, Feb. 2009. (Results from this thesis appeared in ABC, CBS, and NBC in 2007)

Email: yingzhu@purdue.edu