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BITESIZE | Exploring Dynamic Regression Models, with David Kohns

Learning Bayesian Statistics

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Advancing Bayesian Inference: Normalizing Flows and Practical Applications

This chapter delves into innovative developments in Bayesian inference, with a focus on normalizing flows and amortized techniques. It highlights their potential to streamline computations and improve the practical application of Bayesian methods in complex models.

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