A direct Bayesian methodology to identify the order of moving average processes using different prior distributions
Joint Authors
Sulayman, Imad E. A.
al-Bassam, Muhammad S.
Ali, Sharif S.
Source
The Egyptian Statistical Journal
Issue
Vol. 66, Issue 2 (31 Dec. 2022), pp.1-16, 16 p.
Publisher
Publication Date
2022-12-31
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Topics
Abstract EN
The current study handles the direct Bayesian identification of moving average processes based on different well known Informative and Non-Informativv priors.
The priors considered in the article are g prior, natural-conjugate prior as well as Jeffreys' prior.
Posterior probability mass functions for the order of moving average models are developed using the above mentioned three priors.
Then, the value of the order with maximum probability is selected as the identified order of the model.
In order to ease and simplify the computations, the likelihood function of the moving average process is approximated.
Effectiveness of each posterior mass function in identifying an order for the model is assessed via Mont-Carlo simulations.
Numerical results support the use of the proposed Bayesian technique to solve the identification problem of moving average processes.
Furthermore, the performance of the technique using g prior is better than its performance using the natural-conjugate prior which, in turn, is slightly better than the performance using Jeffreys' prior.
American Psychological Association (APA)
al-Bassam, Muhammad S.& Sulayman, Imad E. A.& Ali, Sharif S.. 2022. A direct Bayesian methodology to identify the order of moving average processes using different prior distributions. The Egyptian Statistical Journal،Vol. 66, no. 2, pp.1-16.
https://search.emarefa.net/detail/BIM-1502882
Modern Language Association (MLA)
Sulayman, Imad E. A.…[et al.]. A direct Bayesian methodology to identify the order of moving average processes using different prior distributions. The Egyptian Statistical Journal Vol. 66, no. 2 (2022), pp.1-16.
https://search.emarefa.net/detail/BIM-1502882
American Medical Association (AMA)
al-Bassam, Muhammad S.& Sulayman, Imad E. A.& Ali, Sharif S.. A direct Bayesian methodology to identify the order of moving average processes using different prior distributions. The Egyptian Statistical Journal. 2022. Vol. 66, no. 2, pp.1-16.
https://search.emarefa.net/detail/BIM-1502882
Data Type
Journal Articles
Language
English
Notes
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Record ID
BIM-1502882