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Time series : modeling, computation, and inference /
Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Computation, and Inference, Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
2021.
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| Edición: | Second edition. |
| Colección: | Texts in statistical science.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 1. Notation, definitions, and basic inference; 2. Traditional time domain models; 3. The frequency domain; 4. Dynamic linear models; 5. State-space TVAR models; 6. SMC methods for state-space models; 7. Mixture models in time series; 8. Topics and examples in multiple time series; 9. Vector AR and ARMA models; 10. General classes of multivariate dynamic models; 11. Latent factor models