Distributed adaptive Huber regression

Distributed data naturally arise in scenarios involving multiple sources of observations, each stored at a different location. Directly pooling all the data together is often prohibited due to limited bandwidth and storage, or due to privacy protocols. A new robust distributed algorithm is introduce...

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Veröffentlicht in:	Computational statistics & data analysis Jg. 169; S. 107419
Hauptverfasser:	Luo, Jiyu, Sun, Qiang, Zhou, Wen-Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2022
Schlagworte:	Adaptive Huber regression algorithms Communication efficiency confidence interval data analysis Distributed inference Heavy-tailed distribution linear models Nonasymptotic analysis objectives regression analysis Heavy-tailed distribution Nonasymptotic analysis Adaptive Huber regression Communication efficiency Distributed inference
ISSN:	0167-9473, 1872-7352
Online-Zugang:	Volltext
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