Lecturer:
Michela Battauz (University of Udine)

Board Contact:
Michela Battauz

Introduction to R

• Introduction to the software
• Explorative data analysis
• Examples of hypothesis test: Student T-test, Two-sample independent T-test, Paired Samples T-test, Chi-square test.

Analysis of Variance

Model Evaluation

• Information criteria
• Cross-validation

Variable Selection

• Classical approaches: best subset selection, forward selection, backward elimination, stepwise regression.
• Modern approaches: shrinkage methods (ridge, lasso), boosting.
   

All lectures will be supplemented by practical examples carried out using the R software.