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

Time Series Analysis for the State-Space Model with R/Stan (Hardcover) (ISBN-13: 9789811607103)

Vendor: Junichiro Hagiwara
Product type: Books
Format: Hardcover
$159.99
$159.99
$159.99
Subtotal: $159.99
Time Series Analysis for the State-Space Model with R/Stan by Hagiwara, Junichiro

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

$159.99
Time Series Analysis for the State-Space Model with R/Stan by Hagiwara, Junichiro

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

$159.99
Format: Hardcover
Description
Description
x
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.



Author: Junichiro Hagiwara
ISBN-10: 9811607109
ISBN-13: 9789811607103
Publisher: Springer
Language: English
Published: 08/31/2021
Pages: 347
Format: Hardcover
Weight: 1.51lbs
Size: 9.21h x 6.14w x 0.81d
By Junichiro Hagiwara
By Junichiro Hagiwara
x
Junichiro Hagiwara received the B.E., M.E., and Ph.D. degrees from Hokkaido University, Sapporo, Japan, in 1990, 1992, and 2016, respectively. He joined the Nippon Telegraph and Telephone Corporation in April 1992 and transferred to NTT Mobile Communications Network, Inc. (currently NTT DOCOMO, INC.) in July 1992. Later, he became involved in the research and development of mobile communication systems. His current research interests are in the application of stochastic theory to the communication domain. He is currently a visiting professor at Hokkaido University.

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