Bayesian Forecasting and Dynamic Models

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This book focuses on Bayesian learning, inference, and forecasting in dynamic environments, detailing the structure and theory of dynamic models for time series analysis. It offers a comprehensive overview of Bayesian methods developed over thirty years, serving as a reference for advanced students and researchers in various fields.