Accounting for Factor Variables in Big Data Regression

DOI10.5705/SS.202018.0309zbMath1464.62534OpenAlexW2954201728WikidataQ128350509 ScholiaQ128350509MaRDI QIDQ4986359

Baijian Yang, Tonglin Zhang

Publication date: 27 April 2021

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/cc618675d70d90d861aa611b3c66c03e6912797e

zbMATH Keywords

big datafactor variablesscanning data by rowsindex array of sufficient statisticsindex least squaresparallel or cluster computation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Sufficient statistics and fields (62B05) Statistical aspects of big data and data science (62R07)

Uses Software

• Unnamed Item
• Spark

Cites Work

• Unnamed Item
• Multidimensional divide-and-conquer
• Aggregated estimating equation estimation
• Distributed testing and estimation under sparse high dimensional models
• Dimension reduction for big data
• An exact approach to ridge regression for big data
• Algorithms and Data Structures for External Memory
• Information-Based Optimal Subdata Selection for Big Data Linear Regression

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