Advanced Multivariate Statistics
A.Y. 2025/2026
Learning objectives
The course is designed to teach cutting-edge statistical methods for analyzing multivariate data. Its central theme is inspired by the paper Gelman, A., & Vehtari, A. (2021). What are the most important statistical ideas of the past 50 years? Journal of the American Statistical Association, 116(536), 2087-2097. During the course, applications to real situations will be presented using the R statistical software.
Expected learning outcomes
Students will achieve skills for doing independent study and research in presence of multivariate data. Moreover, they will learn how to use dedicated R libraries to deal with multivariate contexts.
Lesson period: Second four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
Second four month period
SECS-S/01 - STATISTICS - University credits: 6
Lessons: 40 hours