How can causal relationships help with prediction?
10 to 20 h
Part I: Bayesian networks and causal inference (“Pearl causality”)
Part II: Potential outcomes and causal inference (“Rubin causality”)
Solid background in Statistics/Econometrics
Forms part of Summer School Week II, part of Statistical Modelling and Inference MSc course, also taught in some Data Science Center workshops
Would you like to receive personalized recommendations?
Data Sciencce Center Barcelona Graduate School of Economics Ramón Trías Fargas, 25-27 08005 Barcelona, Spain.
Join our LinkedIn Group
Subscribe to our Newsletter and you will receive the latest news about our work, studies, publications and more.
Legal
Cookies
Contact
© Barcelona Graduate School of Economics. All rights reserved.