BITESIZE | Exploring Dynamic Regression Models, with David Kohns
Learning Bayesian Statistics
00:00
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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Transcript
