Prof. Federico Mattia Stefanini

Argomenti del programma: The course equips students with a working knowledge of the tools of probability and statistics, with skills in data handling and statistical programming, and with an understanding of the models and methods of applied econometrics. To this end, problem sets with both analytical and computer-exercise components will form a substantial part of the course. Main topics: 0.

• Main study materials: course notes and online resources (course website).

Argomenti del programma: Common families of probability distributions. Joint distributions of multiple random variables, marginalization, and conditioning. Introduction to conditional independence and Bayesian networks. Statistical inference and computation: environmental sampling designs, the likelihood principle, and the Bayesian paradigm.

• Appunti e slides dei docenti disponibili sul sito del corso su ARIEL

Argomenti del programma: MODULO 1: Probabilità e Statistica Statistica descrittiva: 1) Campionamenti da popolazioni. Tipi di dati e di variabili. 2) Suddivisione dei dati in classi e costruzione delle tabelle di frequenza. Istogrammi/grafici a barre. 3) Indici di centralità (media, moda, mediana, midrange), indici di dispersione (range, deviazione standard, varianza), percentili, quartili. Outliers. Boxplot.