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Distributed Bootstrap Simultaneous Inference for High-Dimensional Quantile Regression

Modern massive data with enormous sample size and tremendous dimensionality are usually impossible to process with a single machine. They are typically stored and processed in a distributed manner. In this paper, we propose a distributed bootstrap simultaneous inference for a high-dimensional quanti...

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Principais autores: Xingcai Zhou, Zhaoyang Jing, Chao Huang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-02-01
coleção:Mathematics
Assuntos:
distributed statistical learning
multiplier bootstrap
quantile regression
communication efficiency
ADMM algorithm
Acesso em linha:https://www.mdpi.com/2227-7390/12/5/735
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