Prof. Laura Maria Sangalli

Argomenti del programma: 1. Analisi univariata : Indici di centralità, di dispersione e di forma, distribuzioni empiriche, istogrammi, boxplot. 2. Analisi bivariata : Tabella di contingenza, scatterplot, coefficiente di correlazione campionario. 3. Probabilità : Spazio campionario, eventi, funzione di probabilità e relative proprietà, spazi campionari finiti.

Argomenti del programma: Program : Introduction: a short recap on linear models for independent data The case of heterogeneous variance Linear fixed-effects models for correlated data Linear mixed-effects models Nonparametric regression models Spatial statistics: kriging A brief introduction to Dynamic Linear Models and Kalman filtering A brief introduction to Markov Models and Hidden Markov Models All methods will be illustrated using…

Argomenti del programma: Industrial case study and problem definition Engineering problem formulation and project objectives. Literature review and state-of-the-art analysis. Experimental planning and data acquisition Experimental design and monitoring strategy. Experimental execution and data acquisition. Data representation and analysis Image- and/or video-based data preprocessing and representation.