Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58560
Title: A Markov-Switching Model with Mixture Distribution Regimes
Authors: Paravee Maneejuk
Woraphon Yamaka
Songsak Sriboonchitta
Keywords: Computer Science
Mathematics
Issue Date: 1-Jan-2018
Abstract: © 2018, Springer International Publishing AG, part of Springer Nature. This study proposes the mixture Markov-switching autoregressive model, which allows variation in error distribution across different regimes. This model is generalized from the ordinary MS-AR model owing to two considerations, but related to each other. First, we have concern about the mixture of distributions or populations, which often prevails in economic time series. Second, when using the MS models to analyse economic fluctuation, we doubt if each regime in the model can have distinct distribution. All of these concerns are addressed by an empirical study.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043980870&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58560
ISSN: 16113349
03029743
Appears in Collections:CMUL: Journal Articles

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