Automatic specification of piecewise linear additive models: application to forecasting natural gas demand
type: Item
instance of: scholarly article
title: Automatic specification of piecewise linear additive models: application to forecasting natural gas demand
zbMATH Open document ID: 1384.62322
author: Alberto Gascón
author: Eugenio F. Sánchez-Úbeda
published in: Statistics and Computing
publication date: 2018-02-28T00:00:00Z
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 6844717
zbMATH Keywords: generalized additive models
zbMATH Keywords: prediction
zbMATH Keywords: natural gas demand
zbMATH Keywords: short-term forecasting
zbMATH Keywords: piecewise linear models
zbMATH Keywords: nonlinear modeling
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: s11222-017-9726-x
OpenAlex ID: W2582412713
cites work: Statistical predictor identification
cites work: Q3327527
cites work: Additivity tests for nonlinear autoregression
cites work: Q4203556
cites work: Nonparametric lag selection for nonlinear additive autoregressive models
cites work: Identification of Non-Linear Additive Autoregressive Models
cites work: Nonlinear Modeling of Time Series Using Multivariate Adaptive Regression Splines (MARS)
cites work: Short-term Forecasting in Power Systems: A Guided Tour
cites work: Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
cites work: Nonparametric Identification of Nonlinear Time Series: Selecting Significant Lags
cites work: Nonparametric lag selection for time series models
cites work: Order Choice in Nonlinear Autoregressive Models
cites work: Q4375167
cites work: Q4839357
DOI: 10.1007/S11222-017-9726-X
description: scientific article; zbMATH DE number 6844717