PhD in Computer Science (Università degli Studi di Milano)
The course aims at illustrating some advanced topics from the multivariate analysis realm.
Language
Lectures are in English.
Course schedule
Lectures will take place at the Computer science department in the meeting room at 1st floor.
Office hours
By appointment, room 5015 of the Computer Science Department.
It is possible contact the teacher by e-mail, taking care to read in advance the guide prepared by Prof. Sebastiano Vigna and clearly specifying in the message the course name and the academic year. In particular, students are encouraged to always use their academic address (i.e. based on the domain studenti.unimi.it) signing with name and student ID number and recalling that the response time may vary depending on the teacher commitments.
Course material
The course is based on the following textbook: A. J. Izenman, Modern Multivariate Statistical Techniques, Springer (ISBN: 987-0-387-78188-4).
Preliminary reading of some notes on the matrix differential calculus is recommended.
Syllabus
Multivariate distributions: properties of the normal distribution, parametric inference, nonparametric inference. Linear discriminand analysis, logistic regressione. Multivariate linear regression. Nonlinear regression through SVM.
Students are invited to fill in an evaluation form.
Exam modalities
The exam consists in the discussion of a project to be agreed with teachers.