Marco Lorenzi,

Content and organization

  • Basics of Probability and Bayesian Calculus
  • Basic models and distribution families
  • Bayesian inference on simple univariate cases
  • Approximated inference methods
  • Bayesian regression and classification
  • Sampling methods
  • Bayesian approaches to model selection

Course Type

AI PhD Curriculum

Host Institution
Université Côte d'Azur

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