Bayesian variable selection in linear regression
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Publication:1733296
zbMath1409.62134MaRDI QIDQ1733296
Jean-Michel Marin, Gilles Celeux, Christian P. Robert Robert
Publication date: 21 March 2019
Published in: Journal de la Société Française de Statistique (Search for Journal in Brave)
Gibbs samplinghierarchical modelslinear regression modelBayesian variable selectioncompatible priorsZellner \(G\)-prior
Linear regression; mixed models (62J05) Bayesian problems; characterization of Bayes procedures (62C10)
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A study of variable selection using \(g\)-prior distribution with ridge parameter, Optimal compromise between incompatible conditional probability distributions, with application to Objective Bayesian Kriging
Cites Work
- Nonparametric regression using Bayesian variable selection
- A new criterion for variable selection
- An introduction to the Bayes information criterion: theoretical foundations and interpretation
- Perfect sampling for Bayesian variable selection in a linear regression model
- Estimating Optimal Transformations for Multiple Regression and Correlation
- Bayesian Variable Selection in Linear Regression
- Multivariate Bayesian Variable Selection and Prediction
- A Predictive Approach to the Analysis of Designed Experiments
- Bayesian Model Averaging for Linear Regression Models
- The Variable Selection Problem
- Model Selection and Multimodel Inference
- Compatible Prior Distributions for Directed Acyclic Graph Models
- Bayesian variable selection with related predictors
- Objective Bayesian Variable Selection
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