The “Methods in Action Series” course “Pitfalls and Potentialities of Probabilistic Graphical Models” is organized by Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, and will take place on online platform on  8, 11  and 15 May 2023.

Download ->  LEAFLET OF THE COURSE

Download ->  APPLICATION FORM

Topic and objective

8 May 2023

9:00–09:15 Introduction to the Course

09:15–10:30 Lecture on Graphical Models for Causal Inference by Alessio Moneta

10:30-10:45 Coffee break

10:45–11:30 Examples and illustrations in R by Alessio Moneta

11:30–12:00 Task assignment

11 May 2023

13:00–15:00 interim discussion with groups lead by Simone Di Leo and GiammarcoQuaglia

15 May 2023

9:00–11:00 Group presentations

11:00–12:00 Final discussion and assessment

Instructor:

Alessio Moneta is Associate Professor of Economics at the Institute of Economics and coordinator of the PhD Program in Economics, Scuola Superiore Sant’Anna, Pisa. His research interests lie on causal inference in macroeconometrics, model validation, applied macroeconomics, and methodology of economics.

Organising Committee:

Alessandro Avenali, Cinzia Daraio, Giorgio Matteucci.

Technical Support: 

Simone Di Leo, Giammarco Quaglia.

Target audience:

The course aims at involving participants among the following categories:

Course prerequisites:

Basic requisites for admission will be:

Cost and Fees:

No registration fees to be paid by European participants.

Registration: by email to the organizer including a CV and a short statement of interest.

Deadline for request of participation:

April 30th, 2023

Contact person:

Simone Di Leo, dileo@diag.uniroma1.it