Methods for Statistical Model Fitting

A.Y. 2021/2022
Course offered to students on the PhD programme in
Overall hours
Lesson period
January 2022
Lead instructor: Massimo Walter Rivolta
The course provides fundamental understanding on statistical model fitting using Maximum Likelihood Estimation (MLE) and Maximum a Posteriori (MAP) paradigms. The main topics will be: i) review on MLE and MAP; ii) Linear and Multiple Linear Regression with MLE/MAP; iii) Fisher's information matrix and Cramér-Rao bound; iv) ROC curve analysis and its probabilistic interpretation; v) Logistic Regression with MLE/MAP for classification; vi) Survival analysis and Cox proportional hazard model.
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol


The course enrolment deadline is usually the 25th day of the month prior to the start date. More specifically:

  • 27 December 2021 for courses starting in January 2022
  • 25 January 2022 for courses starting in February 2022
  • 25 February 2022 for courses starting in March 2022.

Deadlines for enrolment in other courses will be announced as soon as possible.

How to enrol

  1. Access enrolment on PhD courses online service using your University login details
  2. Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)

Ignore the option "Exam session date” that appears during the enrolment procedure.


For help please contact

Appointment required (via email)