Standard errors for bagged and random forest estimators
type: Item
instance of: scholarly article
title: Standard errors for bagged and random forest estimators
zbMATH Open document ID: 1452.62121
author: Joseph Sexton
author: Petter Laake
published in: Computational Statistics and Data Analysis
publication date: 2010-03-30T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5687800
describes a project that uses: randomForest
describes a project that uses: R
describes a project that uses: bootstrap
MaRDI profile type: Publication
full work available at URL: j.csda.2008.08.007
OpenAlex ID: W2070073022
cites work: Bagging predictors
cites work: Random forests
cites work: Q4203245
cites work: The jackknife estimate of variance
cites work: Q4318617
cites work: Multivariate adaptive regression splines
cites work: Greedy function approximation: A gradient boosting machine.
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Random Forests and Adaptive Nearest Neighbors
DOI: 10.1016/J.CSDA.2008.08.007
description: scientific article; zbMATH DE number 5687800