Penalized empirical likelihood for longitudinal expectile regression with growing dimensional data

Expectile regression (ER) naturally extends the classical least squares to investigate heterogeneous effects of covariates on the distribution of the response variable. In this paper, we propose a penalized empirical likelihood (PEL) based ER estimator, which incorporates quadratic inference functio...

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Bibliographic Details
Published in:Journal of the Korean Statistical Society Vol. 53; no. 3; pp. 752 - 773
Main Authors: Zhang, Ting, Wang, Yanan, Wang, Lei
Format: Journal Article
Language:English
Published: Singapore Springer Nature Singapore 01.09.2024
Springer Nature B.V
한국통계학회
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ISSN:1226-3192, 2005-2863
Online Access:Get full text
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