Nonparametric screening under conditional strictly convex loss for ultrahigh dimensional sparse data

DOI10.1214/18-AOS1738zbMath1421.62044arXiv1912.01157MaRDI QIDQ2313277

X. Han

Publication date: 18 July 2019

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.01157

zbMATH Keywords

sure screening propertyconditional strictly convex lossgoodness-of-fit nonparametric screeningultrahigh dimensional variable selection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric statistical resampling methods (62G09)

Related Items (3)

RaSE: A Variable Screening Framework via Random Subspace Ensembles ⋮ Structure learning via unstructured kernel-based M-estimation ⋮ Nonparametric screening under conditional strictly convex loss for ultrahigh dimensional sparse data

Uses Software

• AdaBoost.MH

Cites Work

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