The Bayesian Polynomial Regression Model Through INLA Using Gaussian Method with Empirical Bayesian, CCD and GRID Strategy

DOI

10.2991/assehr.k.210421.110How to use a DOI?

Keywords

Relationship, scatter diagram, quadratic polynomial regression models, Gaussian method, Empirical Bayes Strategy, CCD Strategy, Grid Strategy, marginal posterior and Bayesian INLA

Abstract

Relationship rice between with height can be described with scatter diagram. Scatter diagram can product the quadratic polynomial regression mod els and the qubic polynomial regression mode which possible. The quadratic polynomial regression model the best variable height and height2 significant. Then parameter in the quadratic polynomial regression model can be estimated with Bayesian INLA with Gaussian and Empirical Bayes Strategy compare CCD, GRID Strategy. The posterior marginal intercept β0, coefficient β1 and β2 with Gaussian method and different strategy product similar. The posterior marginal of random effects τ the grid strategy different with CCD and empirical Bayes strategy.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hery Tri Sutanto
AU  - Henny Pramoedyo
AU  - Wayan Surya Wardhani
AU  - Suci Astutik
PY  - 2021
DA  - 2021/04/22
TI  - The Bayesian Polynomial Regression Model Through INLA Using Gaussian Method with Empirical Bayesian, CCD and GRID Strategy
BT  - Proceedings of the International Conference on Engineering, Technology and Social Science (ICONETOS 2020)
PB  - Atlantis Press
SP  - 759
EP  - 766
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210421.110
DO  - 10.2991/assehr.k.210421.110
ID  - Sutanto2021
ER  -