Interval forecasts based on regression trees for streaming data
type: Item
instance of: scholarly article
title: Interval forecasts based on regression trees for streaming data
author: Xin Zhao
author: S. Barber
author: Charles C. Taylor
author: Zoka Milan
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2021-06-28T00:00:00Z
full work available at URL: streaming.pdf
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 7363863
zbMATH Keywords: ctree
zbMATH Keywords: MODWT
zbMATH Keywords: wavelet
zbMATH Keywords: liver transplantation
zbMATH Keywords: data stream
describes a project that uses: R
describes a project that uses: forecast
describes a project that uses: Rugarch
describes a project that uses: wmtsa
describes a project that uses: Forecast
describes a project that uses: RMetrics
describes a project that uses: fGarch
describes a project that uses: Waveslim
describes a project that uses: partykit
describes a project that uses: MOA
MaRDI profile type: Publication
OpenAlex ID: W2996259305
cites work: Advances in Artificial Intelligence – SBIA 2004
cites work: partykit: a modular toolkit for recursive partytioning in \texttt{R}
cites work: Learning model trees from evolving data streams
cites work: Q4488348
cites work: Machine learning approaches for estimation of prediction interval for the model output.
cites work: Classification tree methods for panel data using wavelet-transformed time series
Wikidata QID: Q126547788
DOI: 10.1007/S11634-019-00382-7
description: scientific article; zbMATH DE number 7363863