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SUMMARY:Methods in Action: Pitfalls and Potentialities of Probabilistic Graphical Models
DESCRIPTION: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. \n  \n \nDownload ->  LEAFLET OF THE COURSE\nDownload ->  APPLICATION FORM\n  \nTopic and objective \n\n\n\n• Introduce Graphical Models to identify causal relationships\n• Introduce to the use of Graphical Models for explanation or for predicting the effects of policy interventions.\n• Offer a review of the methods for causal discovery based on graphical models that were developed in the past three decades.\n• Present illustrations and applications to real data\n• Practice in groups on the presented models\n\n\n\n\n\nOnline course including:\n\n\n\n\n• On-line lectures presenting the main methods for causal discovery based on graphical models\n• Group exercises where participants will experiment the different approaches available based on graphical models\n• Plenary discussion on the exercises carried out\n  \nCourse programme \n\n8 May 2023  \n9:00–09:15 Introduction to the Course \n09:15–10:30 Lecture on Graphical Models for Causal Inference by Alessio Moneta \n10:30-10:45 Coffee break \n10:45–11:30 Examples and illustrations in R by Alessio Moneta \n11:30–12:00 Task assignment \n  \n11 May 2023  \n13:00–15:00 interim discussion with groups lead by Simone Di Leo and GiammarcoQuaglia \n  \n15 May 2023  \n9:00–11:00 Group presentations \n11:00–12:00 Final discussion and assessment \n  \nInstructor: \nAlessio 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. \n  \nOrganising Committee: \nAlessandro Avenali\, Cinzia Daraio\, Giorgio Matteucci. \n  \nTechnical Support:  \nSimone Di Leo\, Giammarco Quaglia. \n  \nTarget audience: \nThe course aims at involving participants among the following categories: \n• Early career researchers\n• PhD students\n• People from the policy making world wishing to extend their analytical capabilities\n• Data scientists interested in knowing the potentialities Graphical Models for causal inference\n  \nCourse prerequisites: \nBasic requisites for admission will be: \n•Knowledge of basic principle of statistics\n•Basic knowledge of the software R\n\nCost and Fees:  \nNo registration fees to be paid by European participants. \nRegistration: by email to the organizer including a CV and a short statement of interest. \n  \nDeadline for request of participation: \nApril 30th\, 2023 \nContact person: \nSimone Di Leo\, dileo@diag.uniroma1.it 
URL:https://www.risis2.eu/event/methods-in-action-pitfalls-and-potentialities-of-probabilistic-graphical-models/
LOCATION:ONLINE FORMAT
CATEGORIES:Methods in Action
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