Harrison H. Zhou
Affiliations: | Yale University, New Haven, CT |
Area:
StatisticsGoogle:
"Harrison Zhou"Parents
Sign in to add mentor| Jiunn T. Gene Hwang | grad student | 2004 | Cornell | |
| (Minimax Estimation with Threshoulding and Asymptotic Equivalence Theory for Gaussian Variance Regression) | ||||
| Michael Nussbaum | grad student | 2004 | Cornell | |
| (Minimax Estimation with Threshoulding and Asymptotic Equivalence Theory for Gaussian Variance Regression) | ||||
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Publications
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| Gao C, Vaart AWvd, Zhou HH. (2020) A general framework for Bayes structured linear models Annals of Statistics. 48: 2848-2878 |
| Bunea F, Rohde A, Wolfe P, et al. (2019) Matrix Estimation Meets Statistical Network Analysis: Extracting low-dimensional structures in high dimension Oberwolfach Reports. 15: 1745-1783 |
| Klopp O, Lu Y, Tsybakov AB, et al. (2019) Structured matrix estimation and completion Bernoulli. 25: 3883-3911 |
| Gao C, Ma Z, Zhou HH. (2017) Sparse CCA: Adaptive estimation and computational barriers Annals of Statistics. 45: 2074-2101 |
| Pang T, Yan P, Zhou HH. (2017) Asymptotically efficient parameter estimation for ordinary differential equations Science China-Mathematics. 60: 2263-2286 |
| 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 |
| 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, Zhou HH. (2016) Bernstein-von Mises theorems for functionals of the covariance matrix Electronic Journal of Statistics. 10: 1751-1806 |
| Zhang AY, Zhou HH. (2016) Minimax rates of community detection in stochastic block models Annals of Statistics. 44: 2252-2280 |
| Cai T, Kim D, Wang Y, et al. (2016) Optimal large-scale quantum state tomography with Pauli measurements Annals of Statistics. 44: 682-712 |