Zhao Ren is an Associate Professor in the Department of Statistics at the University of Pittsburgh. He obtained his Ph.D. in Statistics from Yale University in 2014. His research focuses on developing theories and methods for high-dimensional statistical inference, robust statistics, graphical models, and nonparametric function estimation. He is also interested in applications in genomics and protein structure modeling. More recently, his interests have expanded to include deep neural networks for nonparametric regression and the development of privacy-preserving statistical methods. Dr. Ren serves as an associate editor for the Journal of Business & Economic Statistics, Electronic Journal of Statistics, and Statistica Sinica.
Courses
- STAT 1000 Applied Statistical Methods
- STAT 1151 Introduction to Probability
- STAT 1152 Introduction to Mathematical Statistics
- STAT 1631/2630 Intermediate Probability
- STAT 1632/2640 Intermediate Mathematical Statistics
- STAT 2631 Theory of Statistics I
- STAT 2641 Asymptotic Methods in Statistics
- STAT 2691 Nonparametric Theory
- STAT 2711 Probability Theory I
- STAT 3694 Introduction to High-Dimensional Statistics
- 2014 Ph.D. Statistics, Yale University, New Haven, CT
- 2009 M.A. Mathematics, University of Pennsylvania, Philadelphia, P
- 2007 B.S. Mathematics, Nanjing University, China
Education & Training
Gaussian differentially private robust mean estimation and inference (with Myeonghun Yu and Wenxin Zhou) Bernoulli 2024, 30(4):3059-3088
Adaptive Minimax Density Estimation on R^d for Huber’s Contamination Model (with Peiliang Zhang) Information and Inference: A Journal of the IMA 2023, 12(4):3042-3066
Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor (with Yu Liu) Annals of Statistics 2020, 48(4):2428-2454
Robust Covariance and Scatter Matrix Estimation under Huber’s Contamination Model (with Mengjie Chen and Chao Gao) Annals of Statistics 2018, 46(5):1932-1960
Estimating Structured High-Dimensional Covariance and Precision Matrices: Optimal Rates and Adaptive Estimation (with T. Tony Cai and Harrison H. Zhou) Electronic Journal of Statistics with Discussions and Rejoinder 2016, 10(1):1-89
Asymptotic Normality and Optimalities in Estimation of Large Gaussian Graphical Model (with Tingni Sun, Cun-Hui Zhang and Harrison H. Zhou) Annals of Statistics 2015, 43(3):991-1026
- High Dimensional Statistical Inference
- Robust Statistics
- Graphical Models
- Nonparametric Function Estimation
- Covariance/Precision Matrix Estimation
- Applications in Statistical Genomics and Protein Structure Modeling
