A Bayesian joinpoint regression model with an unknown number of break-points

DOI10.1214/11-AOAS471zbMath1228.62032arXiv1112.1526OpenAlexW2088309218MaRDI QIDQ652378

Gonzalo García-Donato, Diego Salmerón, Miguel A. Martinez-Beneito

Publication date: 14 December 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1112.1526

zbMATH Keywords

model selectionBayes factorsBayesian statisticsepidemiological time seriesjoinpoint regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40)

Related Items

Testing Shape Constraints in Lasso Regularized Joinpoint Regression ⋮ Regularization techniques in joinpoint regression ⋮ Bayesian multiple structural change-points estimation in time series models with genetic algorithm ⋮ Consistent model selection in segmented line regression ⋮ Bayesian age-stratified joinpoint regression model: an application to lung and brain cancer mortality ⋮ A Bayesian joinpoint regression model with an unknown number of break-points

Uses Software

• Joinpoint

Cites Work

• On Bayesian model and variable selection using MCMC
• A Bayesian joinpoint regression model with an unknown number of break-points
• Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data
• Estimating joinpoints in continuous time scale for multiple change-point models
• Estimating the number of change-points via Schwarz' criterion
• Multivariate adaptive regression splines
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Testing equality of regression coefficients in heteroscedastic normal regression models
• Extending conventional priors for testing general hypotheses in linear models
• Mixtures of g Priors for Bayesian Variable Selection
• Hierarchical Bayesian Analysis of Changepoint Problems
• Bayesian Analysis of Cancer Rates From SEER Program Using Parametric and Semiparametric Joinpoint Regression Models
• Bayesian Model Selection for Join Point Regression with Application to Age-Adjusted Cancer Rates
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