Mar 302021

Seminario di dottorato

Titolo: Introduction to Finite Mixture Models and Latent Class Analysis

Docente: Silvia Columbu, Postdoctoral researcher in Statistics

PhD School of Mathematics and Computer Science, University of Cagliari

Duration: 20 hrs, in the period going from 18th to 26th of February 2021, for a total of 4 CFR


This course is intended as both a theoretical and practical introduction to finite mixtures as a
model based clustering tool. We will introduce the concept of finite mixture of distributions for categorical as
well as continuous variables. We will study the problem of maximum likelihood via expectation-maximization
(EM) algorithms. We will start from simple data structures and then move to the introduction of regressors
and to more complex model structures. We will also explore the problem of model selection and choice of
the number of clusters. We will see practical applications with the aid of devoted packages in the statistical
software R. Students will learn how to implement an analysis and how to read and interpret outputs and
graphical representations of results.


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