Distributed adaptive Huber regression
type: Item
instance of: scholarly article
title: Distributed adaptive Huber regression
author: Jiyu Luo
author: Qiang Sun
author: Wen-Xin Zhou
published in: Computational Statistics and Data Analysis
publication date: 2022-02-18T00:00:00Z
full work available at URL: https://arxiv.org/abs/2107.02726
full work available at URL: 8267v4m7
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7476349
zbMATH Keywords: adaptive Huber regression
zbMATH Keywords: communication efficiency
zbMATH Keywords: distributed inference
zbMATH Keywords: heavy-tailed distribution
zbMATH Keywords: nonasymptotic analysis
MaRDI profile type: Publication
OpenAlex ID: W4205927369
cites work: Two-Point Step Size Gradient Methods
cites work: Distributed testing and estimation under sparse high dimensional models
cites work: One-Step Huber Estimates in the Linear Model
cites work: Q4445180
cites work: Statistics for high-dimensional data. Methods, theory and applications.
cites work: Challenging the empirical mean and empirical variance: a deviation study
cites work: A non-uniform Berry-Esseen bound via Stein's method
cites work: Quantile regression under memory constraint
cites work: A split-and-conquer approach for analysis of
cites work: Distributed linear regression by averaging
cites work: Estimation of High Dimensional Mean Regression in the Absence of Symmetry and Light Tail Assumptions
cites work: I-LAMM for sparse learning: simultaneous control of algorithmic complexity and statistical error
cites work: A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs
cites work: On parameters of increasing dimensions
cites work: Robust regression: Asymptotics, conjectures and Monte Carlo
cites work: Robust Statistics
cites work: Communication-Efficient Distributed Statistical Inference
cites work: Robust regression through the Huber's criterion and adaptive lasso penalty
cites work: Q5361268
cites work: Statistical consistency and asymptotic normality for high-dimensional robust \(M\)-estimators
cites work: Asymptotics with increasing dimension for robust regression with applications to the bootstrap
cites work: Asymptotic behavior of M estimators of p regression parameters when \(p^ 2/n\) is large. II: Normal approximation
cites work: On the optimality of averaging in distributed statistical learning
cites work: Adaptive Huber Regression
cites work: On asymptotically optimal confidence regions and tests for high-dimensional models
cites work: Distributed inference for quantile regression processes
cites work: A High-Dimensional Nonparametric Multivariate Test for Mean Vector
cites work: A New Principle for Tuning-Free Huber Regression
cites work: Q5214200
cites work: Asymptotic behavior of M-estimators for the linear model
cites work: Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
cites work: Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates
cites work: A partially linear framework for massive heterogeneous data
cites work: A new perspective on robust \(M\)-estimation: finite sample theory and applications to dependence-adjusted multiple testing
DOI: 10.1016/J.CSDA.2021.107419
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description: scientific article; zbMATH DE number 7476349