Analysis of longitudinal data by combining multiple dynamic covariance models-Reference-Cited by-同舟云学术

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Analysis of longitudinal data by combining multiple dynamic covariance models

Published:2019 Issue:3 Volume:12 Page:479-487
ISSN:1938-7989
Container-title:Statistics and Its Interface
language:en
Short-container-title:

Author:

Xu Lin¹,Tang Man-Lai²,Chen Ziqi³

Affiliation:

1. School of Data Sciences, Zhejiang University of Finance and Economics, Hangzhou, China

2. Department of Mathematics and Statistics, Hang Seng University of Hong Kong

3. School of Mathematics and Statistics, Central South University, Changsha, China

Publisher

International Press of Boston

Subject

Applied Mathematics,Statistics and Probability

Cited by 5 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. Robust variable selection via nonconcave penalties with an upgraded parsimonious dynamic covariance modeling;Communications in Statistics - Simulation and Computation;2022-12-20

2. Robust statistical inference for longitudinal data with nonignorable dropouts;Statistics;2022-08-11

3. Improved composite quantile regression and variable selection with nonignorable dropouts;Random Matrices: Theory and Applications;2021-05-18

4. Improved kth power expectile regression with nonignorable dropouts;Journal of Applied Statistics;2021-04-27

5. Improved empirical likelihood inference and variable selection for generalized linear models with longitudinal nonignorable dropouts;Annals of the Institute of Statistical Mathematics;2020-08-27

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