BITESIZE | Exploring Dynamic Regression Models, with David Kohns
Learning Bayesian Statistics
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Navigating the Intricacies of Prior Elicitation in Bayesian Models
This chapter explores the challenges of prior elicitation in Bayesian statistics, emphasizing the relationship between demographic correlations and prior formulation. It also discusses the role of AI and software advancements in making Bayesian inference more accessible, while balancing automation with the need for practical learning.
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