Uncertainty quantification for honest regression trees
type: Item
instance of: scholarly article
title: Uncertainty quantification for honest regression trees
author: Suofei Wu
author: Thomas C. M. Lee
author: Jan Hannig
published in: Computational Statistics and Data Analysis
publication date: 2022-01-26T00:00:00Z
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7464470
zbMATH Keywords: bootstrap
zbMATH Keywords: confidence intervals
zbMATH Keywords: generalized fiducial inference
zbMATH Keywords: jackknife
zbMATH Keywords: prediction intervals
describes a project that uses: UCI-ml
describes a project that uses: BartPy
describes a project that uses: grf
MaRDI profile type: Publication
full work available at URL: j.csda.2021.107377
OpenAlex ID: W3210314997
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DOI: 10.1016/J.CSDA.2021.107377
description: scientific article; zbMATH DE number 7464470