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51w6CfM-pSL._AC_UF1000,。PDF) Bayesian forecasting and dynamic models。A Dynamic Bayesian Network Structure for Joint Diagnostics。まーみー新潟産こしいぶき20kg。Forecasting with Bayesian Dynamic Generalized Linear Models。Bayesian Forecasting and Dynamic Models (Springer Series in Statistics) ハードカバーThis text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti?c, and socio-economic ?elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here.