{"product_id":"bayesian-forecasting-and-dynamic-models-springer-series-in-statistics-9781475770988","title":"Bayesian Forecasting and Dynamic Models Springer Series in Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis text is concerned with Bayesian learning, inference and forecasting in dynamic environments.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eto the DLM: The First-Order Polynomial Model.- to the DLM: The Dynamic Regression Model.- The Dynamic Linear Model.- Univariate Time Series DLM Theory.- Model Specification and Design.- Polynomial Trend Models.- Seasonal Models.- Regression, Autoregression, and Related Models.- Illustrations and Extensions of Standard DLMs.- Intervention and Monitoring.- Multi-Process Models.- Non-Linear Dynamic Models: Analytic and Numerical Approximations.- Exponential Family Dynamic Models.- Simulation-Based Methods in Dynamic Models.- Multivariate Modelling and Forecasting.- Distribution Theory and Linear Algebra.","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":51770044219735,"sku":"9781475770988","price":85.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781475770988.jpg?v=1758723886","url":"https:\/\/bookcurl.com\/products\/bayesian-forecasting-and-dynamic-models-springer-series-in-statistics-9781475770988","provider":"Book Curl","version":"1.0","type":"link"}