70 citations · 123 across the 13 of their papers we have counts for
13 papers
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models
T. Tony Cai, Zijian Guo, Yin Xia
This paper presents a selective survey of recent developments in statistical inference and multiple testing for high-dimensional regression models, including linear and logistic re…
Testing High-dimensional Multinomials with Applications to Text Analysis
T. Tony Cai, Zheng Tracy Ke, Paxton Turner
Motivated by applications in text mining and discrete distribution inference, we investigate the testing for equality of probability mass functions of groups of high-dimensiona…
Transfer Learning for Contextual Multi-armed Bandits
Changxiao Cai, T. Tony Cai, Hongzhe Li
Motivated by a range of applications, we study in this paper the problem of transfer learning for nonparametric contextual multi-armed bandits under the covariate shift model, wher…
A Locally Adaptive Algorithm for Multiple Testing with Network Structure
Ziyi Liang, T. Tony Cai, Wenguang Sun +1
Incorporating auxiliary information alongside primary data can significantly enhance the accuracy of simultaneous inference. However, existing multiple testing methods face challen…
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…