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University of Michigan vía Coursera
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Bayesian Statistics: Mixture Models

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  • Basic concepts on Mixture Models
    • This module defines mixture models, discusses its properties, and develops the likelihood function for a random sample from a mixture model that will be the basis for statistical learning.
  • Maximum likelihood estimation for Mixture Models
  • Bayesian estimation for Mixture Models
  • Applications of Mixture Models
  • Practical considerations