Calendario attività didattica a.a. 2020-2021

Corsi di base (I anno, sessione invernale)
  • Probability Theory (10 cfu), De Gregorio (feb 2021), Cammarota (apr-mag 2021), Beghin (mag 2021), Pacchiarotti (giu 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 (I anno, sessione estiva)
  • 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
       - TBA
  • Multivariate Data Analysis, part II – Dimensionality reduction (6 cfu), set 2021
    + Factor Analysis (3 cfu,)
    + Latent Class and Latent Trait Analysis (3 cfu)
  • Selected Topics in Statistical Learning (3 cfu), set 2021
Per conoscere giorni, orari e aule di svolgimento dei corsi cliccare sull'allegato "Calendario corsi dettagliato"

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