Program

Graphical Models

Probabilistic graphical models yield a rich framework for encoding probability distributions over complex domains, involving large numbers of random variables that interact with each other. These representations rely on concepts from probability theory, graph algorithms, statistics, computer science and more. They are the basis for revolutionary methods in a wide variety of applications, such as medical diagnosis, image understanding, forensic genetics, speech recognition, natural language processing, machine learning problems, and much more. The course will present the fundamental theory and methodology, illustrated with applications and case studies.

Instructors
Lectures
Steffen Lauritzen
(Department of Mathematical Sciences, University of Copenhagen);
Robin Evans 
(Department of Statistics, University of Oxford, UK);
Tutorials
Søren Wengel Mogensen
(Department of Mathematical Sciences, University of Copenhagen)

Format
Morning: 3 hours/day lectures
Afternoon: 2 hours/day supervised tutorials as well as individual and team work.

Seminars
The school will include two seminars on July 13 afternoon, by Julia Mortera (Universita’ di Rome Tre): “Graphical Models in Forensic Science”,and  Fabio Corradi (Universita’ di Firenze): “On the Probability of Causation for Querying the Cause of an Effect, and its Fundamental Conditions”.

Moreover, there will be informal talks, or a poster session, where participants, upon previous request, may present their research. More detailed info to follow.

Room and board
Accommodation is included in the registration fee.
The students will be hosted at the Guest House of Villa del Grumello  and at the Ostello Bello.
The organizing committee will take care of the reservation.
Working days’ lunches are included in the registration fees.

Attendance and final certificate
Full attendance of the activities of the summer school is mandatory for the participants.
An attendance certificate will be awarded by Università Bocconi, subject to a positive participation to the program.