An efficient sampling algorithm with adaptations for Bayesian variable selection
type: Item
instance of: scholarly article
title: An efficient sampling algorithm with adaptations for Bayesian variable selection
zbMATH Open document ID: 1325.62056
author: Takamitsu Araki
author: Kazushi Ikeda
author: Shotaro Akaho
published in: Neural Networks
publication date: 2015-11-06T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 60J22
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 6505436
zbMATH Keywords: indicator model selection
zbMATH Keywords: Gibbs variable selection
zbMATH Keywords: Kuo and Mallick's method
zbMATH Keywords: adaptive Markov chain Monte Carlo
zbMATH Keywords: convergence
zbMATH Keywords: Bayesian logistic regression model
MaRDI profile type: Publication
full work available at URL: j.neunet.2014.09.010
OpenAlex ID: W2066068511
Wikidata QID: Q51001418
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cites work: A review of Bayesian variable selection methods: what, how and which
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cites work: Q4828566
cites work: Weak convergence and optimal scaling of random walk Metropolis algorithms
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DBLP publication ID: journals/nn/ArakiIA15
DOI: 10.1016/J.NEUNET.2014.09.010
description: scientific article; zbMATH DE number 6505436