Hierarchical Bayesian Choice of Laplacian ARMA Models Based on Reversible Jump MCMC Computation
An autoregressive moving average (ARMA) is a time series model that is applied in everyday life for pattern recognition and forecasting. The ARMA model contains a noise which is assumed to have a specific distribution. The noise is often considered to have a Gaussian distribution. However in applica...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2020-03-01
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| Col·lecció: | International Journal of Computational Intelligence Systems |
| Matèries: | |
| Accés en línia: | https://www.atlantis-press.com/article/125936713/view |
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