{"product_id":"9789811607103","title":"Time Series Analysis for the State-Space Model with R\/Stan","description":"\u003ch1\u003eTime Series Analysis for the State-Space Model with R\/Stan\u003c\/h1\u003e \u003ch2\u003eHagiwara, Junichiro\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cdiv\u003eThis 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.  \u003cbr\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2021-08-31\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789811607103\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-16-0711-0\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 347\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":46031773991052,"sku":"9789811607103","price":161.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789811607103.jpg?v=1776050674","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789811607103","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}