Model Selection in Spline Nonparametric Regression

DOI10.1111/1467-9868.00328zbMath1015.62039OpenAlexW2044107635MaRDI QIDQ4407194

Sally A. Wood, Tom Shively, Wenxin Jiang, Robert Kohn

Publication date: 7 August 2003

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9868.00328

zbMATH Keywords

Bayesian information criterionthin plate splinesGibbs samplervariable selectionbinary regression

Mathematics Subject Classification ID

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

Related Items

Penalized likelihood and Bayesian function selection in regression models, Fast Bayesian model assessment for nonparametric additive regression, Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors, Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models, Semiparametric Bayesian Analysis of Nutritional Epidemiology Data in the Presence of Measurement Error, Model uncertainty, Bayesian smoothing spline analysis of variance, Bayesian hierarchical linear mixed models for additive smoothing splines

Cites Work

• Nonparametric regression using Bayesian variable selection
• A Bayesian approach to additive semiparametric regression
• Automatic Bayesian Curve Fitting
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