A computational Bayesian method for estimating the number of knots in regression splines

DOI10.1214/11-BA629zbMath1330.62194MaRDI QIDQ2634121

Minjung Kyung

Publication date: 8 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1339616544

zbMATH Keywords

Bayesian semiparametric regressionregression splinesmultinomial-Dirichlet distribution

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Nonparametric regression and quantile regression (62G08) Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Monte Carlo methods (65C05)

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A Computational Bayesian Method for Generalized Semiparametric Regression Models ⋮ A note on Bayes factor consistency in partial linear models

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