21 citations · 31 across the 5 of their papers we have counts for
4 papers · 1 filter
Estimation and Inference with Proxy Data and its Genetic Applications
Sai Li, T. Tony Cai, Hongzhe Li
Existing high-dimensional statistical methods are largely established for analyzing individual-level data. In this work, we study estimation and inference for high-dimensional line…
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
Linjun Zhang, Rong Ma, T. Tony Cai +1
This paper studies the high-dimensional mixed linear regression (MLR) where the output variable comes from one of the two linear regression models with an unknown mixing proportion…
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
Sai Li, T. Tony Cai, Hongzhe Li
This paper considers the estimation and prediction of a high-dimensional linear regression in the setting of transfer learning, using samples from the target model as well as auxil…
Structured Matrix Completion with Applications to Genomic Data Integration
Tianxi Cai, T. Tony Cai, Anru Zhang
Matrix completion has attracted significant recent attention in many fields including statistics, applied mathematics and electrical engineering. Current literature on matrix compl…