Discovering influential variables: a method of partitions

DOI10.1214/09-AOAS265zbMath1185.62185arXiv1009.5744OpenAlexW3106169777MaRDI QIDQ965100

Herman Chernoff, Tian Zheng, Shaw-Hwa Lo

Publication date: 21 April 2010

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

Full work available at URL: https://arxiv.org/abs/1009.5744

zbMATH Keywords

partitioninfluencevariable selectionretentionimpostormarginal influenceresuscitation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Computing methodologies and applications (68U99) Applications of statistics (62P99)

Related Items (3)

Why significant variables aren’t automatically good predictors ⋮ Discovering influential variables: a method of partitions ⋮ A stepwise regression algorithm for high-dimensional variable selection

Cites Work

• Unnamed Item
• Discovering influential variables: a method of partitions
• Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics.
• 10.1162/153244303322753616
• Random forests

This page was built for publication: Discovering influential variables: a method of partitions