Prof. Silvia Bianconcini

Argomenti del programma: The course program is organized in three parts as described below. Descriptive Statistics The data matrix. Types of variables. Frequency tables. Graphical representations. Summary measures of position and dispersion. Association of two quantitative variables, covariance and correlation coefficient. Outline of simple linear regression.

Argomenti del programma: Il corso riprende e consolida i principali concetti di probabilità, statistica e algebra delle matrici necessari per affrontare gli insegnamenti del corso di laurea. In particolare, saranno trattati i seguenti argomenti: 1. Probabilità concetto di probabilità; assiomi della probabilità; legge della probabilità totale; teorema di Bayes. 2.

• The chapters and sections included in the course programme will be specified during the lectures. Additional lecture notes, exercises and supplementary materials will be made available through the Virtuale platform.

Argomenti del programma: The course introduces the main statistical methods for the analysis and forecasting of time series. Particular attention is devoted to the specification, interpretation and estimation of time series models, as well as to model selection, diagnostic checking and forecasting. The theoretical concepts are illustrated through examples and applications to real and simulated data.