Guide to understanding the intuition behind the Dirichlet distribution
Read OriginalThis technical article provides an intuitive guide to understanding the Dirichlet distribution, framing it as a multivariate generalization of the Beta distribution. It discusses the distribution's role as a prior in Bayesian statistics, specifically within the context of ordered Beta regression for modeling bounded continuous outcomes. The content includes mathematical explanations, R code examples, and references to academic papers, making it a resource for statisticians and data scientists.
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