ANALISIS REGRESI BAYES LINEAR SEDERHANA DENGAN PRIOR NONINFORMATIF

ANALISIS REGRESI BAYES LINEAR SEDERHANA DENGAN PRIOR NONINFORMATIF

The aim of this study is to apply Bayesian simple linear regression using noninformative prior. The data used in this study is 30 observational data with error generated from normal distribution. The noninformative prior was formed using Jeffreys’ rule. Computation was done using the Gibbs Sampler a...

Full description

Bibliographic Details
Main Authors: ANAK AGUNG ISTRI AGUNG CANDRA ISWARI, I WAYAN SUMARJAYA, I GUSTI AYU MADE SRINADI
Format: Article
Language:English
Published: Universitas Udayana 2014-05-01
Series:E-Jurnal Matematika
Subjects:
Bayesian regression
noninformative prior
Jeffreys’ rule
the Gibbs Sampler algorithm
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/9604

Internet

https://ojs.unud.ac.id/index.php/mtk/article/view/9604

Similar Items