Time series : modeling, computation, and inference

Main Author: Prado, Raquel
Other Authors: West, Mike
Language:English
Published: Boca Raton, FL: Chapman & Hall/CRC (an imprint of Taylor & Francis Group), 2010.
Series:Chapman & Hall/CRC texts in statistical science series
Texts in statistical science series
Subjects:
Table of Contents:
  • Notation, definitions, and basic inference
  • Traditional time domain models
  • The frequency domain
  • Dynamic linear models
  • State-space TVAR models
  • SMC methods for state-space models
  • Mixture models in time series
  • Topics and examples in multiple time series
  • Vector AR and ARMA models
  • Multivariate DLMs and covariance models