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Applied Bayesian Forecasting and Time Series Analysis includes a complete theoretical development of the dynamic linear model, with each step demonstrated with analysis of real time series data. The result is a clear presentation of the Bayesian paradigm: quantified subjective judgments derived from selected models applied to time series observations.