Mathematical Statistics
A.Y. 2026/2027
Learning objectives
The main goal of the course is to introduce both the theoretical and practical aspects of mathematical statistics. Specifically, the first part of the course will focus on parametric mathematical statistics, including both classical and Bayesian approaches, with a brief overview of supervised statistical learning. The second part will cover classical non-parametric mathematical statistics and the evaluation of estimators.
Expected learning outcomes
The student will learn the basic notions and theorems of mathematical statistics, which he/she will then be able to apply to conduct statistical investigations; he/she will be able to identify the most appropriate methods for analysing and solving a problem related to the topics of the course and correctly interpret the results in order to obtain the appropriate quantitative and qualitative answers for the data in his/her possession.
Lesson period: First semester
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
Responsible
Lesson period
First semester
Modules or teaching units
Statistica Matematica (prima parte)
MAT/06 - PROBABILITY AND STATISTICS - University credits: 6
Exercises: 36 hours
Lessons: 27 hours
Lessons: 27 hours
Professors:
Fuhrman Marco Alessandro, Villa Elena
Statistica Matematica (seconda parte)
MAT/06 - PROBABILITY AND STATISTICS - University credits: 3
Exercises: 12 hours
Lessons: 18 hours
Lessons: 18 hours
Professors:
Fuhrman Marco Alessandro, Villa Elena
Professor(s)
Reception:
Monday, 10:30 am - 1:30 pm (upon appointment, possibly suppressed for academic duties)
Department of Mathematics, via Saldini 50, office 1017.