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...
Main Author: | Jin, Ye |
---|---|
Other Authors: | Xiang Liming |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77163 |
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