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Mathematics Webinar | Bayesian Networks and Their Real-World Applications for Decision Making

10 Oct 2024, 11:00 (CEST)

Registration Deadline
10th October 2024

Bayesian Networks, Dynamic Bayesian Networks, Decision Sciences, Score Functions, Prior Distribution, Joint Probability
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Welcome from the Chair

11th Mathematics Webinar

Bayesian Networks and Their Real-World Applications for Decision Making

Bayesian networks are probabilistic graphical models developed in the late 1980's by Lauritzen and Spiegelhalter (1988) and Pearl (1988), with an easy and detailed introduction by Jensen (2001). They represent a convergence between statistical methodology, data mining, and machine learning. The joint, multidimensional aspect of a BN makes this methodology so attractive for the analysis of complex data. These structures are remarkable for their ability to express a set of complex relationships in a simple manner. Thus, they represent an ideal tool to deal with problems of uncertainty and complexity. A recent overview of their different applications is available in Lauritzen (2003). Due to their interdisciplinary and interconnected characteristics, these tools are applied to several real-world contexts. During this webinar, we will discover some of those applications.

Date: 10 October 2024
Time: 11:00 a.m. CEST | 5:00 a.m. EDT | 5:00 p.m. CST Asia
Webinar ID: 867 1882 3750
Webinar Secretariat: journal.webinar@mdpi.com

Event Chairs

Ca' Foscari University of Venice

Introduction
Bio
Marta Pittavino is an Assistant Professor in Statistics at the Ca' Foscari University of Venice, Italy. She received her B.Sc. and M.Sc. in Mathematics from the University of Turin in 2009 and 2011, respectively. She received her Ph.D. in Biostatistics from the University of Zurich in 2016. Her research interests include additive Bayesian networks and Bayesian hierarchical models applied to epidemiological studies, the choice of suitable priors, statistical data analysis, regression models, and forecasting methods.

Invited Speakers

Dalle Molle Institute for Artificial Intelligence, Switzerland

Introduction
Bio
Marco Scutari is a Senior Researcher at the Dalle Molle Institute for Artificial Intelligence, one of Switzerland's national research centres. Previously, he held positions in statistics, statistical genetics, and machine learning in Switzerland and the UK. He completed his Ph.D. in Statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering. Dr. Scutari is the main author of the bnlearn package for Bayesian networks, the fairml package for fair machine learning modelling, and the "Bayesian Networks: With Examples in R" and "The Pragmatic Programmer for Machine Learning" books published by CRC Press.

University of Geneva, Switzerland

Introduction
Bio
Cinzia Tarantino is a researcher at the University of Geneva. She received her Ph.D. in Information Systems from the University of Geneva in 2024. Her research focuses on a novel concept of risk in complex environments - more specifically, complex risk modeling using probabilistic graphical models such as a Bayesian network.

Registration

This is a FREE webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic or institutional email addresses will be prioritized.

Certificates of attendance will be delivered to those who attend the live webinar.

Unable to attend? Feel free to still register; we will inform you when the recording is available.

Program

Speaker/Presentation
Time in CEST
Time in EDT

Prof. Dr. Marta Pittavino

Chair Introduction

11:00 a.m. - 11:10 a.m.

5:00 a.m. - 5:10 a.m.

Dr. Marco Scutari

Causal Modelling in Space and Time

11:10 a.m. – 11:40 a.m.

5:10 a.m. – 5:40 a.m.

Q&A

11:40 a.m. - 12:00 p.m.

5:40 a.m. - 6:00 a.m.

Dr. Cinzia Tarantino

Data-driven Risk Analysis of Nonlinear Factor Interactions in Road Safety Using Bayesian Networks

12:00 p.m. - 12:30 p.m.

6:00 a.m. – 6:30 a.m.

Q&A

12:30 p.m. – 12:50 p.m.

6:30 a.m. – 6:50 a.m.

Prof. Dr. Marta Pittavino

Concluding Remarks

12:50 p.m. – 1:00 p.m.

6:50 a.m. – 7:00 a.m.

Relevant Special Issue

Bayesian Networks: Parameter and Structure Learning with Their Real-World Applications for Decision Making

Guest Editors: Dr. Marta Pittavino
Deadline for manuscript submissions: 1 April 2025

Sponsors and Partners

Organizers

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