Bayesian variable selection

Views Updated: Dec 15, 2025

Abbreviation

BVS

Pronunciation

/beɪˈziːən ˈveəriəbl sɪˈlekʃn/

Recently, Iwata et al. ( 2007 ) proposed a Bayesian variable selection(BVS) method to map multi-QTL.
In such case, an approach of Bayesian variable and model selection is proposed by using the stochastic search technique based on GLM.
As for fractional factorial experiment design with non-normal responses, taking the deviance information criterion ( DIC ) as the assessment criterion of Bayesian models, we propose an approach of two-stage Bayesian variable and model selection by using MCMC method and stepwise iterative optimization technique.
Bases on the coupling between emergencies and supply disturbances, the establishment of Bayesian networks requirements, builds disturbance of the supply chain Bayesian networks, including the node variable selection and topology learning.

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