Research Interests

Publications and Papers in Preparation
(Names in alphabetical order except for *)
 Adaptive Estimation of High Dimensional Partially Linear Model (with F. Han and Y. Zhu ) Submitted [pdf][Supplement][Program]
 Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor* (with Y. Liu (*Student first authorship) ) Submitted [pdf]
 Covarianceengaged Classification of Sets via Linear Programming* (with J. Sungkyu and X. Qiao (*First authorship) ) Submitted
 TuningFree Heterogeneity Pursuit in Massive Networks* (with Y. Kang, Y. Fan and J. Lv (*First authorship) ) Submitted [pdf]
 SILGGM: An Extensive R Package for Efficient Statistical Inference in Largescale Gene Networks* (with R. Zhang and W. Chen (*Student first authorship; Serve as Correspondence author) ) to appear, PLOS Computational Biology 2018
 Variable Screening with Multiple Studies* (with T. Ma and G. Tseng (*Student first authorship) ) to appear, Statistica Sinica 2018 [pdf]
 Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model (with M. Chen and C. Gao) to appear, Annals of Statistics 2017 [pdf]
 Variable Selection for a Categorical VaryingCoefficient Model with Identifications for Determinants of Body Mass Index (with J. Gao, B. Peng and X. Zhang) Annals of Applied Statistics 2017 11(2):11171145 [pdf]
 A General Decision Theory for Huber's εContamination Model (with M. Chen and C. Gao) Electronic Journal of Statistics 2016 10(2):37523774 [pdf]
 Estimating Structured HighDimensional Covariance and Precision Matrices: Optimal Rates and Adaptive Estimation (with T. Cai and H. Zhou) Electronic Journal of Statistics (with Discussions and Rejoinder) 2016 10(1):189 [pdf]
 FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks* (with T. Wang, Y. Ding, Z. Fang, Z. Sun, M. MacDonald, R. Sweet, J. Wang and W. Chen (*Cofirst authorship) ) PLOS Computational Biology 2016 12(2):e1004755 [pdf]
 Asymptotically Normal and Efficient Estimation of CovariateAdjusted Gaussian Graphical Model (with M. Chen, H. Zhao and H. Zhou) Journal of the American Statistical Association 2016
111(513):394406 [pdf]  Minimax Estimation in Sparse Canonical Correlation Analysis (with C. Gao, Z. Ma and H. Zhou) Annals of Statistics 2015 43(5):21682197 [pdf]
 Asymptotic Normality and Optimalities in Estimation of Large Gaussian Graphical Model (with T. Sun, C. Zhang and H. Zhou) Annals of Statistics 2015 43(3):9911026 [pdf]
 Optimal Rates of Convergence for Estimating Toeplitz Covariance Matrices (with T. Cai and H. Zhou) Probability Theory and Related Fields 2013, 156(12):101143 [pdf]
 Discussion : Latent Variable Graphical Model Selection via Convex Optimization (with H. Zhou) Annals of Statistics 2012 40(4):19891996 [pdf]
 Sparse CCA via Precision Adjusted Iterative Thresholding (with M. Chen, C. Gao and H. Zhou) Submitted [pdf]
Software
Teaching and Tutoring Experience
Teaching (Instructor)
 STAT 1000 Applied Statistical Methods, University of Pittsburgh (Fall 2016)
 STAT 1151 Introduction to Probability, University of Pittsburgh (Fall 2014)
 STAT 1152 Introduction to Mathematical Statistics, University of Pittsburgh (Spring 2018)
 STAT 1631/2630 Intermediate Probability, University of Pittsburgh (Fall 2017)
 STAT 2641 Asymptotic Methods in Statistics, University of Pittsburgh (Spring 2016, Spring 2017)
 STAT 2691 Nonparametric Theory, University of Pittsburgh (Spring 2015, Fall 2017)
 STAT 3694 HighDimensional Statistical Estimation, University of Pittsburgh (Fall 2015)
 Yale Residential College Math and Science Program for Math and Science Courses (20122014)
Contact
Zhao Ren
Department of Statistics
1812 Wesley W. Posvar Hall
Pittsburgh, PA 15260
Email: zren (at) pitt (dot) edu