Statistical Methods and Applications

CRISTINA MOLLICA
LUCA TARDELLA

General goals
Knowledge at an intermediate and advanced level of the main issues in Bayesian statistics.
Ability to apply Bayesian statistical techniques to applicative context.

Knowledge and understanding
Knowledge and understanding of the Bayesian approach to statistical inference, of its models and of its methodologies

Applying knowledge and understanding
Ability to apply Bayesian statistical methods for inferential problems in real-data problems

Making judgements
Ability of choosing appropriate Bayesian methods and models in different inferential problems

Communication skills
Ability of communicating results of the analyses in written and oral form

Learning skills
Students acquire skills useful to approach more advanced topics in Bayesian inference, Advanced data analysis, Statistical computing and Mathematical statistics