Bayesian Forecasting and Dynamic Models

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.