Introductory courses (Ist year, winter session)
Real Analysis (3 cfu), A.C. Lai (jan-feb 2021)
Probability Theory (10 cfu), De Gregorio (feb 2021), Cammarota (apr-may 2021), Beghin (may 2021), Pacchiarotti (jun 2021)
+ Measure theory, Martingales, Levy processes, Gaussian and conditional Gaussian processes
Statistical Theory (8 cfu) – Alfo’ (feb-mar 2021), Ranalli (mar-apr 2021)
+ Basic statistical inference, ML estimation, Multivariate Gaussian distribution, first order asymptotics, quasi, pseudo and composite likelihoods
Corsi di base (Ist year, summer session)
Multivariate Data Analysis, part I - Clustering (6 cfu)
+ Finite mixtures models (3 cfu) – Rocci (apr 2021), Martella (jun 2021)
- Gaussian Mixtures, parsimonious covariance parameterization, constrained EM algorithms, non-Gaussian mixtures, applications
+ Fuzzy clustering (3 cfu) – Ferraro, Colubi
Multivariate Data Analysis, part II – Dimensionality reduction (6 cfu), sep 2021
+ Factor Analysis (3 cfu,)
+ Latent Class and Latent Trait Analysis (3 cfu)
Selected Topics in Statistical Learning (3 cfu), sep 2021
For time schedule, please visit the page "Programme calendar a.y. 2020-2021"