A Gaussian Mixture Autoregressive Model for Univariate Time Series
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Publication:5177974
DOI10.1111/jtsa.12108zbMath1320.62201OpenAlexW2116098548MaRDI QIDQ5177974
Leena Kalliovirta, Pentti Saikkonen, Mika Meitz
Publication date: 9 March 2015
Published in: Journal of Time Series Analysis (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10138/36946
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Cites Work
- Unnamed Item
- Unnamed Item
- Contemporaneous threshold autoregressive models: estimation, testing and forecasting
- Threshold models in time series analysis -- 30 years on
- Multivariate contemporaneous-threshold autoregressive models
- Mixing: Properties and examples
- Markov chains for exploring posterior distributions. (With discussion)
- On a logistic mixture autoregressive model
- Evaluating the Lyapounov Exponent and Existence of Moments for Threshold AR-ARCH Models
- Markov Chains and Stochastic Stability
- Optimal Tests when a Nuisance Parameter is Present Only Under the Alternative
- Modeling Flat Stretches, Bursts, and Outliers in Time Series Using Mixture Transition Distribution Models
- On a Mixture Autoregressive Conditional Heteroscedastic Model
- Modelling Nonlinear Economic Time Series
- The Lindeberg-Levy Theorem for Martingales
- Towards a Unified Approach for Proving Geometric Ergodicity and Mixing Properties of Nonlinear Autoregressive Processes
- Identifiability of Finite Mixtures
- Relations between Weak and Uniform Convergence of Measures with Applications
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