Methods for Statistical Model Fitting - January 2024

Length: 10 hours - 2 cfu

 

 

Abstract

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) Logistic Regression with MLE/MAP; iv) ROC curve analysis and its probabilistic interpretation; v) Survival analysis and Cox proportional hazard model.

 

 

Dates & Venue

Giorni Aula Orario
29/01/2024 Lab. Laurea Magistrale  3° floor - Via Celoria 18 - 20133 Milan 10:30-12:30
30/01/2024 Lab. Laurea Magistrale  3° floor - Via Celoria 18 - 20133 Milan 10:30-12:30
31/01/2024 Lab. Laurea Magistrale  3° floor - Via Celoria 18 - 20133 Milan 10:30-12:30
01/02/2024 Lab. Laurea Magistrale  3° floor - Via Celoria 18 - 20133 Milan 10:30-12:30
02/02/2024 Lab. Laurea Magistrale  3° floor - Via Celoria 18 - 20133 Milan 10:30-12:30

 

Suggested Readings

 

Lecturer:

Dr. Massimo Walter Rivolta - Dipartimento di Informatica

 

 

Assessor:

Dr. Massimo Walter Rivolta - Dipartimento di Informatica