Bayesian quantile regression for streaming data

Quantile regression has been widely used in many fields because of its robustness and comprehensiveness. However, it remains challenging to perform the quantile regression (QR) of streaming data by a conventional methods, as they are all based on the assumption that the memory can fit all the data....

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Bibliographic Details
Published in:	AIMS Mathematics
Main Authors:	Zixuan Tian, Xiaoyue Xie, Jian Shi
Format:	Article
Language:	English
Published:	AIMS Press 2024-09-01
Subjects:	bayesian modeling big data quantile regression streaming data
Online Access:	https://aimspress.com/article/doi/10.3934/math.20241276?viewType=HTML

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