Hierarchical Bayesian modeling (also called multilevel modeling) is one of the most reliable ways to build predictive and inferential models when your data has natural groupingâteams, players, seasons, leagues, referees, venues, or even game states. In sports analytics, that grouping is unavoidable. In R, hierarchical Bayesian models are commonly ...
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