Expectile Regression on Distributed Large-Scale Data

Expectile Regression on Distributed Large-Scale Data

Large-scale data presents great challenges to data analysis due to the limited computer storage capacity and the heterogeneous data structure. In this article, we propose a distributed expectile regression model to resolve the challenges of large-scale data by designing a surrogate loss function and...

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Bibliographic Details
Main Authors: Aijun Hu, Chujin Li, Jing Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Expectile regression
surrogate loss
distributed statistical learning
IL-ADMM algorithm
Online Access:https://ieeexplore.ieee.org/document/9131766/

Internet

https://ieeexplore.ieee.org/document/9131766/

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