Bayesian variable selection in generalized additive partial linear models

Author:

Banerjee Sayantan1,Ghosal Subhashis2

Affiliation:

1. Department of Biostatistics; The University of Texas MD Anderson Cancer Center; 1400 Pressler Street Houston TX 77030 USA

2. Department of Statistics; North Carolina State University; 2311 Stinson Drive Raleigh NC 27695 USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference35 articles.

1. Regularization methods for additive models;Avalos;Advances in Intelligent Data Analysis,2003

2. Bayesian structure learning in graphical models;Banerjee;Journal of Multivariate Analysis,2014

3. Simultaneous selection of variables and smoothing parameters in structured additive regression models;Belitz;Computational Statistics & Data Analysis,2008

4. Linear smoothers and additive models;Buja;The Annals of Statistics,1989

5. Prior elicitation, variable selection and bayesian computation for logistic regression models;Chen;Journal of the Royal Statistical Society: Series B (Statistical Methodology),1999

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2. Bayes factor asymptotics for variable selection in the Gaussian process framework;Annals of the Institute of Statistical Mathematics;2021-09-20

3. Spatio-temporal additive regression model selection for urban water demand;Stochastic Environmental Research and Risk Assessment;2019-05-24

4. Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures;Journal of Nonparametric Statistics;2016-01-02

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