45 citations · 111 across the 31 of their papers we have counts for
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Group Inference in High Dimensions with Applications to Hierarchical Testing
Zijian Guo, Claude Renaux, Peter Bühlmann +1
High-dimensional group inference is an essential part of statistical methods for analysing complex data sets, including hierarchical testing, tests of interaction, detection of het…
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Zijian Guo, Wei Yuan, Cun-Hui Zhang
Additive models play an essential role in studying non-linear relationships. Despite many recent advances in estimation, there is a lack of methods and theories for inference in hi…
Extreme Eigenvalues of Nonlinear Correlation Matrices with Applications to Additive Models
Zijian Guo, Cun-Hui Zhang
The maximum correlation of functions of a pair of random variables is an important measure of stochastic dependence. It is known that this maximum nonlinear correlation is identica…
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models
Tianxi Cai, Tony Cai, Zijian Guo
The ability to predict individualized treatment effects (ITEs) based on a given patient's profile is essential for personalized medicine. We propose a hypothesis testing approach t…