papers
Publications (12)
math.ST2017
Limiting Laws for Divergent Spiked Eigenvalues and Largest Non-spiked Eigenvalue of Sample Covariance Matrices
Tony Cai, Xiao Han, Guangming Pan
math.ST2013
Distributions of Angles in Random Packing on Spheres
Tony Cai, Jianqing Fan, Tiefeng Jiang
math.ST2012
Introduction to the Lehmann special section
Peter Bühlmann, Tony Cai
stat.ME2011
Adaptive Thresholding for Sparse Covariance Matrix Estimation
Tony Cai, Weidong Liu
cs.CR2019
Atomic Loans: Cryptocurrency Debt Instruments
Matthew Black, TingWei Liu, Tony Cai
math.ST2016
Optimal large-scale quantum state tomography with Pauli measurements
Tony Cai, Donggyu Kim, Yazhen Wang +2
math.ST2016
Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices
Tony Cai, Zongming Ma, Yihong Wu
math.PR2011
Phase Transition in Limiting Distributions of Coherence of High-Dimensional Random Matrices
Tony Cai, Tiefeng Jiang
stat.ME2011
A Constrained L1 Minimization Approach to Sparse Precision Matrix Estimation
Tony Cai, Weidong Liu, Xi Luo
math.ST2015
Adaptive estimation of planar convex sets
Tony Cai, Adityanand Guntuboyina, Yuting Wei
math.ST2011
Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices
Tony Cai, Tiefeng Jiang
stat.ME2011
A Direct Estimation Approach to Sparse Linear Discriminant Analysis
Tony Cai, Weidong Liu