A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data-Reference-Cited by-同舟云学术

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A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data

Published:2017-08 Issue: Volume:112 Page:129-144
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Lv Jing,Guo Chaohui,Yang Hu,Li Yalian

Funder

Doctoral Grant of Southwest University

Chongqing Municipal Education Commission

Chongqing Normal University

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference33 articles.

1. Asymptotic results with generalized estimating equations for longitudinal data;Balan;Ann. Statist.,2005

2. Standard errors and covariance matrices for smoothed rank estimators;Brown;Biometrika,2005

3. Efficiency of generalized estimating equations for binary responses;Chaganty;J. R. Stat. Soc. Ser. B Stat. Methodol.,2004

4. Quantile regression for longitudinal data with a working correlation model;Fu;Comput. Statist. Data Anal.,2012

5. Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data;Fu;J. Multivariate Anal.,2016

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1. Penalized empirical likelihood for longitudinal expectile regression with growing dimensional data;Journal of the Korean Statistical Society;2024-04-09

2. State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting;Sensors;2023-01-10

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

4. Smoothed quantile regression with nonignorable dropouts;Analysis and Applications;2022-01-15

5. Robust estimation via modified Cholesky decomposition for modal partially nonlinear models with longitudinal data;Communications in Statistics - Simulation and Computation;2021-10-08

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