Bayesian quantile regression for streaming data

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
Main Authors: Zixuan Tian, Xiaoyue Xie, Jian Shi
Format: Article
Language:English
Published: AIMS Press 2024-09-01
Series:AIMS Mathematics
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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https://aimspress.com/article/doi/10.3934/math.20241276?viewType=HTML

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