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#124 State Space Models & Structural Time Series, with Jesse Grabowski

Learning Bayesian Statistics

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Intro

This chapter explores the intricacies of time series analysis, emphasizing state space models that can address both visible and hidden data states. The discussion also covers key concepts such as trends, seasonality, and the Kahneman filter's impact on various fields beyond economics.

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