Dear Colleagues,

As part of the Visiting Professors program of the Master's Degree in Stochastics and Data Science at the University of Torino (full program available at https://www.master-sds.unito.it/go/visiting), we are pleased to announce the following course:

———————————————————

Andrea CREMASCHI (IE University Madrid)

This course introduces Bayesian approaches to mixture modelling and nonparametric inference. Starting from finite mixture models, it explores Bayesian nonparametrics through the Dirichlet Process (DP) and mixtures with random number of components (Mixtures of Finite Mixtures, MFM). Students will gain both theoretical understanding and practical experience with modern computational algorithms for posterior inference and clustering applications.

———————————————————

The course will be held exclusively in-person, according to the following schedule:

- Tue Dec 2, h. 16-18

- Wed Dec 3, h. 14-16
- Thu Dec 4, h. 14-16

Course location: Laboratorio Informatico "A. Sembenelli", third floor, Corso Unione Sovietica 218/bis, 10134, Torino.

The participation is open to everyone interested.

Best regards,