Online updating of information based model selection in the big data setting

DOI10.1080/03610918.2019.1626886zbMath1497.62371OpenAlexW2951755923WikidataQ127733028 ScholiaQ127733028MaRDI QIDQ5082794

Yishu Xue, Guanyu Hu

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1626886

zbMATH Keywords

model selectioninformation criterionbig dataonline updating

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Generalized linear models (logistic models) (62J12) Statistical aspects of information-theoretic topics (62B10) Statistical aspects of big data and data science (62R07)

Related Items

Confidence interval construction in massive data sets

Uses Software

• UCI-ml

Cites Work

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• Asymptotic properties of criteria for selection of variables in multiple regression
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Estimating the dimension of a model
• Distributed testing and estimation under sparse high dimensional models
• Statistical methods and computing for big data
• The risk inflation criterion for multiple regression
• A split-and-conquer approach for analysis of
• Model Selection and Model Averaging
• A strongly consistent procedure for model selection in a regression problem
• A Parallel Mixture of SVMs for Very Large Scale Problems
• Optimal Subsampling for Large Sample Logistic Regression
• Model selection procedure for high‐dimensional data
• An online updating approach for testing the proportional hazards assumption with streams of survival data