The composite quantile regression for longitudinal data using the mixture of asymmetric laplace distributions

We propose a linear mixture quantile regression approach, with composite quantile regression (CQR) as a special case, to analyze continuous longitudinal data via a finite mixture of asymmetric Laplace distributions (ALD). Compared with the conventional mean regression approach, the proposed quantile...

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Bibliographic Details
Main Author: Jin, Ye
Other Authors: Xiang Liming
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77163
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Institution: Nanyang Technological University
Language: English