The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information

This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution. The prior information about the parameters of model is repr...

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Main Authors: Haifaa Abdulgawwad Saeed, Wasfi Taher Saleh, Mahasen Saleh Al-Talib
Format: Article
Language:English
Published: Tikrit University 2023-01-01
Series:Tikrit Journal of Pure Science
Subjects:
Online Access:https://tjpsj.org/index.php/tjps/article/view/781
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author Haifaa Abdulgawwad Saeed
Wasfi Taher Saleh
Mahasen Saleh Al-Talib
author_facet Haifaa Abdulgawwad Saeed
Wasfi Taher Saleh
Mahasen Saleh Al-Talib
author_sort Haifaa Abdulgawwad Saeed
collection DOAJ
description This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution. The prior information about the parameters of model is represented by probability distributions belong to conjugate families. It found that the posterior marginal probability distribution for parameters matrix (Φ) is a Matrix t distribution, The posterior marginal probability distribution of covariance matrix (Σ) is uncommon and the predictive  probability distribution of future observations vector is multivariate t distribution.  
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id doaj-art-d8ebaf90aebc40149b7c956afdeb1dc7
institution DOAJ
issn 1813-1662
2415-1726
language English
publishDate 2023-01-01
publisher Tikrit University
record_format Article
series Tikrit Journal of Pure Science
spelling doaj-art-d8ebaf90aebc40149b7c956afdeb1dc72025-08-20T03:16:51ZengTikrit UniversityTikrit Journal of Pure Science1813-16622415-17262023-01-0122510.25130/tjps.v22i5.781The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior InformationHaifaa Abdulgawwad SaeedWasfi Taher SalehMahasen Saleh Al-Talib This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution. The prior information about the parameters of model is represented by probability distributions belong to conjugate families. It found that the posterior marginal probability distribution for parameters matrix (Φ) is a Matrix t distribution, The posterior marginal probability distribution of covariance matrix (Σ) is uncommon and the predictive  probability distribution of future observations vector is multivariate t distribution.   https://tjpsj.org/index.php/tjps/article/view/781EstimateVector Autoregressive ModelPrior Information
spellingShingle Haifaa Abdulgawwad Saeed
Wasfi Taher Saleh
Mahasen Saleh Al-Talib
The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
Tikrit Journal of Pure Science
Estimate
Vector Autoregressive Model
Prior Information
title The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
title_full The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
title_fullStr The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
title_full_unstemmed The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
title_short The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
title_sort bayesian estimate of vector autoregressive model parameters adopt informative prior information
topic Estimate
Vector Autoregressive Model
Prior Information
url https://tjpsj.org/index.php/tjps/article/view/781
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