Autoregressive models with mixture of scale mixtures of Gaussian innovations
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Publication:724914
DOI10.1007/s40995-017-0237-6zbMath1392.62270OpenAlexW2605411705MaRDI QIDQ724914
A. R. Nematollahi, Mohsen Maleki
Publication date: 26 July 2018
Published in: Iranian Journal of Science and Technology. Transaction A: Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40995-017-0237-6
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Uses Software
Cites Work
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- New autoregressive (AR) order selection criteria based on the prediction error estimation
- Integrated squared error estimation of normal mixtures
- Editorial: Advances in mixture models
- Modelling nonlinear count time series with local mixtures of Poisson autoregressions
- Estimation of autoregressive models with epsilon-skew-normal innovations
- Time series: theory and methods.
- Estimating the dimension of a model
- Editorial: The 2nd special issue on advances in mixture models
- Maximum likelihood estimation via the ECM algorithm: A general framework
- ARMA MODELLING WITH NON-GAUSSIAN INNOVATIONS
- On ar(1) processes with exponential white noise
- Estimating parameters in autoregressive models in non-normal situations: symmetric innovations
- The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
- On a Mixture Autoregressive Conditional Heteroscedastic Model
- ESTIMATING PARAMETERS IN AUTOREGRESSIVE MODELS IN NON-NORMAL SITUATIONS: ASYMMETRIC INNOVATIONS
- Robust Autoregression: Student-t Innovations Using Variational Bayes
- Variational Bayes for generalized autoregressive models
- A new look at the statistical model identification
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