Finite Mixture Models
Instructor: Roberto Rocci (University of Rome “Tor Vergata”)
- April 4 (9-11am), 5 (1-3pm), 16 (2-4pm), 20 (9-11am), 23 (2-4pm), 26 (11am-1pm), May 3 (10am-1pm), 4 (9am-12pm), 9 (11am-1pm)
Finite mixture models for nonparametric estimation of probability density functions and for unsupervised classification. EM algorithm and ML estimation of mixture models. Finite mixture of linear regression models. Choice of the number of components.
Syllabus