A transitional Markov switching autoregressive model
DOI10.1080/03610926.2014.894065zbMath1342.62145OpenAlexW2337841441MaRDI QIDQ2815965
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Publication date: 30 June 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.894065
stationary time seriesautocovariance structurefilter and smoothed probabilitiesMarkov switching autoregressive models
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistical methods; risk measures (91G70) Markov processes: estimation; hidden Markov models (62M05) Economic time series analysis (91B84)
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Cites Work
- Markov-switching model selection using Kullback-Leibler divergence
- Analysis of time series subject to changes in regime
- Dynamic linear models with Markov-switching
- Specification testing in Markov-switching time-series models
- Moments of Markov switching models
- Model Selection in Threshold Models
- Bartlett's formula for a general class of nonlinear processes
- Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques*
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- SOME PROPERTIES OF VECTOR AUTOREGRESSIVE PROCESSES WITH MARKOV-SWITCHING COEFFICIENTS
- Stationarity of multivariate Markov-switching ARMA models
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