Double sparsity kernel learning with automatic variable selection and data extraction-Reference-Cited by-同舟云学术

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Double sparsity kernel learning with automatic variable selection and data extraction

Published:2018 Issue:3 Volume:11 Page:401-420
ISSN:1938-7989
Container-title:Statistics and Its Interface
language:en
Short-container-title:

Author:

Chen Jingxiang¹,Zhang Chong²,Kosorok Michael R.¹,Liu Yufeng³

Affiliation:

1. Department of Biostatistics, University of North Carolina, Chapel Hill, N.C., U.S.A.

2. Department of Statistics and Actuarial Science, University of Waterloo, Ontario, Canada

3. Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, N.C., U.S.A.

Publisher

International Press of Boston

Subject

Applied Mathematics,Statistics and Probability

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kernel machine in semiparametric regression with nonignorable missing responses;Journal of the Korean Statistical Society;2024-07-26

2. Double sparsity garrotized kernel machine in high-dimensional partially linear model;Communications in Statistics - Simulation and Computation;2024-03-31

3. A more accurate estimation with kernel machine for nonparametric spatial lag models;Spatial Statistics;2023-12

4. High-dimensional local polynomial regression with variable selection and dimension reduction;Statistics and Computing;2023-10-17

5. A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space;Technometrics;2023-01-03

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