High-dimensional integrative analysis with homogeneity and sparsity recovery

DOI10.1016/j.jmva.2019.06.007zbMath1428.62243OpenAlexW2955835000WikidataQ127551292 ScholiaQ127551292MaRDI QIDQ2008216

Jian Huang, Xinfeng Yang, Xiaodong Yan

Publication date: 22 November 2019

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2019.06.007

zbMATH Keywords

homogeneityheterogeneitysparsityoracle propertymassive dataconcave penalization

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Generalized linear models (logistic models) (62J12)

Related Items

Automatic variable selection in a linear model on massive data, Hierarchical cancer heterogeneity analysis based on histopathological imaging features, Integrative Analysis for High-Dimensional Stratified Models, Meta Clustering for Collaborative Learning, Subgroup analysis for high-dimensional functional regression

Uses Software

• LMaFit

Cites Work

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