Zhao Ren
Affiliations: | Statistics | University of Pittsburgh, Pittsburgh, PA, United States |
Area:
statistical inferenceWebsite:
http://www.pitt.edu/~zren/Google:
"Zhao Ren"Parents
Sign in to add mentorHarrison H. Zhou | grad student | 2014 | Yale | |
(Structured Covariance and Precision Matrices Estimation: Toeplitz Covariance and Gaussian Graphical Model.) |
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Publications
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Liu Y, Ren Z. (2020) Minimax estimation of large precision matrices with bandable Cholesky factor The Annals of Statistics. 48 |
Ke Y, Minsker S, Ren Z, et al. (2019) User-Friendly Covariance Estimation for Heavy-Tailed Distributions Statistical Science. 34: 454-471 |
Zhang R, Ren Z, Chen W. (2018) SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks. Plos Computational Biology. 14: e1006369 |
Chen M, Gao C, Ren Z. (2018) Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model Annals of Statistics. 46: 1932-1960 |
Chen M, Ren Z, Zhao H, et al. (2016) Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model. Journal of the American Statistical Association. 111: 394-406 |
Wang T, Ren Z, Ding Y, et al. (2016) FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks. Plos Computational Biology. 12: e1004755 |
Cai TT, Ren Z, Zhou HH. (2016) Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation Electronic Journal of Statistics. 10: 1-59 |
Gao C, Ma Z, Ren Z, et al. (2015) Minimax estimation in sparse canonical correlation analysis Annals of Statistics. 43: 2168-2197 |
Ren Z, Sun T, Zhang C, et al. (2015) Asymptotic normality and optimalities in estimation of large Gaussian graphical models The Annals of Statistics. 43: 991-1026 |
Cai TT, Ren Z, Zhou HH. (2013) Optimal rates of convergence for estimating Toeplitz covariance matrices Probability Theory and Related Fields. 156: 101-143 |