Nonparametric independence screening for ultra-high-dimensional longitudinal data under additive models

Author:

Niu Yong12,Zhang Riquan1,Liu Jicai3,Li Huapeng14

Affiliation:

1. School of Finance and Statistics, East China Normal University, Shanghai, People's Republic of China

2. Department of Mathematics and Physics, Hefei University, Hefei, People's Republic of China

3. College of Mathematics and Sciences, Shanghai Normal University, Shanghai, People's Republic of China

4. School of Mathematics and Computer Sciences, Shanxi Datong University, Datong, People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Fund of Education Department of Anhui province

Fundamental Research Funds of Hefei University

Key construction discipline Funds of Hefei University

Project of National Social Science Fund

Doctoral Fund of Ministry of Education of China

Program of Shanghai Subject Chief Scientist

111 Project of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 3 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. Freund’s model with iterated sure independence screening in Cox proportional hazard model;PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN PURE AND APPLIED SCIENCE (ICARPAS2021): Third Annual Conference of Al-Muthanna University/College of Science;2022

2. Sure independent screening elastic net for ultra-high dimensional survival data;2ND INTERNATIONAL CONFERENCE ON ENGINEERING & SCIENCE;2021

3. Feature screening of quadratic inference functions for ultrahigh dimensional longitudinal data;Journal of Statistical Computation and Simulation;2020-06-23

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