A Markov-Switching Model with Mixture Distribution Regimes
© 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, bu...
Saved in:
Main Authors: | Paravee Maneejuk, Woraphon Yamaka, Songsak Sriboonchitta |
---|---|
Format: | Book Series |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043980870&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58560 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Modeling dependence of agricultural commodity futures through markov switching copula with mixture distribution regimes
by: Woraphon Yamaka, et al.
Published: (2019) -
Markov switching beta-skewed-t EGARCH
by: Woraphon Yamaka, et al.
Published: (2019) -
Empirical likelihood estimation of the Markov-switching model
by: Paravee Maneejuk, et al.
Published: (2018) -
Welfare measurement on Thai rice market: A Markov Switching Bayesian Seemingly Unrelated Regression
by: Pathairat Pastpipatkul, et al.
Published: (2018) -
Business cycle of international tourism demand in Thailand: A Markov-switching Bayesian Vector Error Correction model
by: Woraphon Yamaka, et al.
Published: (2018)