{"product_id":"time-series-analysis-for-the-state-space-model-with-r-stan-9789811607134","title":"Time Series Analysis for the State-Space Model with R\/Stan","description":"\u003cp\u003e • Author(s): Junichiro Hagiwara\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Bayesian Analysis\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45279378768023,"sku":"9789811607134","price":10283.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789811607134.webp?v=1769293417","url":"https:\/\/atlanticbooks.com\/products\/time-series-analysis-for-the-state-space-model-with-r-stan-9789811607134","provider":"Atlantic Books","version":"1.0","type":"link"}