585 citations · 1.7k across the 57 of their papers we have counts for
4 papers · 2 filters
Semi-supervised Inference: General Theory and Estimation of Means
Anru Zhang, Lawrence D. Brown, T. Tony Cai
We propose a general semi-supervised inference framework focused on the estimation of the population mean. As usual in semi-supervised settings, there exists an unlabeled sample of…
Optimal Estimation of Co-heritability in High-dimensional Linear Models
Zijian Guo, Wanjie Wang, T. Tony Cai +1
Co-heritability is an important concept that characterizes the genetic associations within pairs of quantitative traits. There has been significant recent interest in estimating th…
Minimax Rate-optimal Estimation of High-dimensional Covariance Matrices with Incomplete Data
T. Tony Cai, Anru Zhang
Missing data occur frequently in a wide range of applications. In this paper, we consider estimation of high-dimensional covariance matrices in the presence of missing observations…
A Sparse PCA Approach to Clustering
T. Tony Cai, Linjun Zhang
We discuss a clustering method for Gaussian mixture model based on the sparse principal component analysis (SPCA) method and compare it with the IF-PCA method. We also discuss the…