#2 When should you use Bayesian tools, and Bayes in sports analytics, with Chris Fonnesbeck
Learning Bayesian Statistics
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Exploring Bayesian Methods and Hierarchical Models
This chapter introduces the basics of Bayesian methods, focusing on multi-level models and their application in addressing unbalanced data sets through information pooling. The speakers share their journey in utilizing Bayesian techniques for ecological data analysis and highlight the practical advantages and challenges posed by these methods compared to traditional frequentist approaches. Emphasizing the importance of model development tools and prior predictive checks, the discussion offers insights into effective Bayesian modeling and its relevance across various fields.
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