3 papers
stat.ME2021
An RKHS-Based Semiparametric Approach to Nonlinear Sufficient Dimension Reduction
Wenquan Cui, Haoyang Cheng
Based on the theory of reproducing kernel Hilbert space (RKHS) and semiparametric method, we propose a new approach to nonlinear dimension reduction. The method extends the semipar…
math.ST2020
A new RKHS-based global testing for functional linear model
Jianjun Xu, Wenquan Cui
This article studies global testing of the slope function in functional linear regression model in the framework of reproducing kernel Hilbert space. We propose a new testing stati…
math.ST2019
A new reproducing kernel based nonlinear dimension reduction method for survival data
Wenquan Cui, Jianjun Xu, Yuehua Wu
Based on the theories of sliced inverse regression (SIR) and reproducing kernel Hilbert space (RKHS), a new approach RDSIR (RKHS-based Double SIR) to nonlinear dimension reduction…