Time Series Analysis for the State-Space Model with R/Stan

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  • Time Series Analysis for the State-Space Model with R/Stan Book Detail

  • Author : Junichiro Hagiwara
  • Release Date : 2021-08-30
  • Publisher : Springer Nature
  • Genre : Mathematics
  • Pages : 350
  • ISBN 13 : 9811607117
  • File Size : 74,74 MB

Time Series Analysis for the State-Space Model with R/Stan by Junichiro Hagiwara PDF Summary

Book Description: This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields. The major feature of the book lies in its consistent Bayesian treatment regarding whole combinations of batch and sequential solutions for linear Gaussian and general state-space models: MCMC and Kalman/particle filter. The reader is given insight on flexible modeling in modern time series analysis. The main topics of the book deal with the state-space model, covering extensively, from introductory and exploratory methods to the latest advanced topics such as real-time structural change detection. Additionally, a practical exercise using R/Stan based on real data promotes understanding and enhances the reader’s analytical capability.

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