Consistent model selection in segmented line regression

DOI10.1016/j.jspi.2015.09.008zbMath1394.62046OpenAlexW2189625395WikidataQ36547271 ScholiaQ36547271MaRDI QIDQ899359

Hyune-Ju Kim, Jeankyung Kim

Publication date: 28 December 2015

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4742379

zbMATH Keywords

model selectionBayes information criterionsegmented line regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15)

Related Items (1)

Data-driven choice of a model selection method in joinpoint regression

Uses Software

• Joinpoint

Cites Work

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• A Bayesian joinpoint regression model with an unknown number of break-points
• Application of modified information criterion to multiple change point problems
• Estimating the number of change-points via Schwarz' criterion
• Multivariate adaptive regression splines
• Estimating the dimension of a model
• Information criterion for Gaussian change-point model
• Estimating the Number of Change Points in Exponential Families Distributions
• A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data
• Bayesian Model Selection for Join Point Regression with Application to Age-Adjusted Cancer Rates

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