Regression spline smoothing using the minimum description length principle
type: Item
instance of: scholarly article
title: Regression spline smoothing using the minimum description length principle
zbMATH Open document ID: 0963.62036
DOI: 10.1016/S0167-7152(99)00191-1
published in: Statistics \& Probability Letters
publication date: 2001-07-03T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62B10
zbMATH DE Number: 1455650
zbMATH Keywords: automatic knot selection
zbMATH Keywords: regression spline
zbMATH Keywords: regression spline smoothing
zbMATH Keywords: minimum description length
author: Thomas C. M. Lee
MaRDI profile type: Publication
cites work: Automatic Bayesian Curve Fitting
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cites work: On stochastic complexity and nonparametric density estimation
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cites work: Nonparametric regression using Bayesian variable selection
cites work: A comparison of regression spline smoothing procedures
full work available at URL: s0167-7152(99)00191-1
OpenAlex ID: W2143869582
description: scientific article; zbMATH DE number 1455650