85182 - Bayesian Inference

Academic Year 2026/2027

  • Teaching Mode: In-person learning (entirely or partially)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Statistical Sciences (cod. 6810)

    Also valid for Second cycle degree programme (LM) in Statistical Sciences (cod. 6810)

Learning outcomes

By the end of the course the student knows the basis of Bayesian inference and has the tools for addressing the problems of parametric estimation, predictive inference and hypothesis testing according to the Bayesian viewpoint. In particular, the student is able to face the theoretical problems above and to use statistical software for estimating Bayesian models.

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Daniela Cocchi