Statistical Methods and Applications - Metodi statistici e applicazioni

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