Lecture
Dirichlet-Multinomial Model
Description
This lecture covers consecutive updates of the posterior, the Dirichlet distribution on the simplex, Bayesian inference in the multinomial model with a Dirichlet prior, posterior mean and variance in the Dirichlet-Multinomial model, conjugate priors, and posterior expectations. It also discusses the predictive distribution and Bayesian estimation of a multinomial random variable.
Official source
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