Statistical Modelling course
Third-year course of the B.Sc. in Artificial Intelligence (Universities of Milano-Bicocca, Milano and Pavia).
A.A. 2025/2026, 1st semester.
Communications
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Contacts
Calendar
(may be subject to change)
Course material
Lecture notes
The course material is largely based on the book “Modello lineare - Teoria e Applicazioni con R” (Grigoletto M., Pauli F., Ventura L., 2017), and on the course material kindly provided by Prof. Nicola Sartori and Prof. Bernardo Nipoti.
30 Sep - Lecture 1
Review of probability and statistics.
Probability review (1) -
Probability review (2)
Statistics review (1) -
Statistics review (2)
02 Oct - Lecture 2
Introduction: role of the variables; phases of the analysis; types of models.
Simple linear model via ordinary least squares: definition, estimate, interpretation of the parameters, descriptive and inferential properties.
Introduction
Simple linear model via OLS -
Properties
Exercises
Past Exams
Exam practice. - Exam 00
Solutions Ex. 1 -
Solutions Ex. 2
25 Jan 2024 - Exam 01
22 Feb 2024 - Exam 02
27 Jun 2024 - Exam 03
23 Jul 2024 - Exam 04
03 Sep 2024 - Exam 05
24 Sep 2024 - Exam 06
Suggested book
Fox, J., 2015. Applied regression analysis and generalized linear models. Sage Publications.
Abraham and Ledolter, Introduction to Regression Modeling, Duxbury Press, 2006 –> pdf
Recordings
(the ones I don’t forget to do)
Folder