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A Bayesian Procedure to Identify the Orders of Vector Moving Average Processes with Seasonality

This article develops an approximate Bayesian procedure to identify the orders of vector moving average processes with seasonality. The proposed is based on approximating the likelihood function by a matrix normal – Wishart on the parameter space. Combining the approximate likelihood function with n...

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書誌詳細
主要な著者: Samir M. Shaarawy, Sherif S. Ali, Emad E. A. Soliman
フォーマット: Artigo
言語:Inglês
出版事項: Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR) 2020-06-01
シリーズ:The Egyptian Statistical Journal
主題:
オンライン・アクセス:https://esju.journals.ekb.eg/article_189433_718cb13db8909dc29e33399f713533be.pdf
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