MAT 4381 Bayesian Inference
3 crédits
Mathematiques
Faculte des sciences
An introduction to the theory and practice of modern Bayesian inference. Choice of prior distributions and calculation of the posterior distribution for single and multi-parameter models. Computational approaches to Bayesian inference such as Markov Chain Monte Carlo and Gibbs sampling. Hierarchical and regression modelling in a Bayesian framework. Use of statistical software.
Volet:
Cours magistral
Terme proposées précédemment:
Hiver
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