Recursive partitioning for missing data imputation in the presence of interaction effects
type: Item
instance of: scholarly article
title: Recursive partitioning for missing data imputation in the presence of interaction effects
zbMATH Open document ID: 1506.62056
author: Y. Aharonov
published in: Computational Statistics and Data Analysis
publication date: 2018-11-23T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6983893
zbMATH Keywords: CART
zbMATH Keywords: classification and regression trees
zbMATH Keywords: interaction problem
zbMATH Keywords: MICE
zbMATH Keywords: nonlinear relations
zbMATH Keywords: random forests
describes a project that uses: partykit
describes a project that uses: R
describes a project that uses: MICE
describes a project that uses: rpart
describes a project that uses: randomForest
describes a project that uses: ElemStatLearn
describes a project that uses: C4.5
describes a project that uses: missForest
describes a project that uses: rrp
describes a project that uses: mirf
MaRDI profile type: Publication
full work available at URL: j.csda.2013.10.025
OpenAlex ID: W2097959846
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DOI: 10.1016/J.CSDA.2013.10.025
Wikidata QID: Q59419468
description: scientific article; zbMATH DE number 6983893