The Selection of Bayesian Polynomial Regression with INLA by using DIC, WAIC and CPO

H.T. Sutanto; H. Pramoedyo; W.S. Wardhani; S. Astutik

doi:10.1088/1742-6596/1747/1/012029

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The Selection of Bayesian Polynomial Regression with INLA by using DIC, WAIC and CPO

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H.T. Sutanto, H. Pramoedyo, W.S. Wardhani, S. Astutik

2021 Journal of Physics: Conference Series Vol. 1747 Issue 1 Conference paper Cited by 4 SDG 10SDG 4SDG 17

Abstract

The polynomial regression model is extended the multiple linear regression. The selection of Bayesian polynomial regression model with INLA required Criterion. Criterion is using the measure fit model with the available data. There are three criteria, namely DIC, WAIC and CPO. The smaller criterion value from DIC, WAIC and CPO on a model show the best Bayesian polynomial regression model with INLA. © Published under licence by IOP Publishing Ltd.

Affiliations

Mathematics Department, Brawijaya University, Jl. Veteran, Malang, Indonesia; Statistics Department, Brawijaya University, Jl. Veteran, Malang, Indonesia; Mathematics Departement, Universitas Negeri Surabaya, Indonesia

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