A Bayesian Approach to Heavy-Tailed Finite Mixture Autoregressive Models

<b> </b>In this paper, a Bayesian analysis of finite mixture autoregressive (MAR) models based on the assumption of scale mixtures of skew-normal (SMSN) innovations (called SMSN–MAR) is considered. This model is not simultaneously sensitive to outliers, as the celebrated SMSN distributio...

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Bibliographic Details
Main Authors: Mohammad Reza Mahmoudi, Mohsen Maleki, Dumitru Baleanu, Vu-Thanh Nguyen, Kim-Hung Pho
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/6/929