Invited Session Advances in statistical methods for complex problems Organizers: Luigi Augugliaro (Università degli Studi di Palermo), Guido Consonni (Università Cattolica del Sacro Cuore) Chair: Guido Consonni (Università Cattolica del Sacro Cuore) Discussant: Luca La Rocca (Università degli studi di Modena e Reggio Emilia) Room: T36 Floor: ground Short summary: Inferring treatment effects on responses in complex systems is a major challenge. This can be tackled by structuring variables into a network and using techniques of causal inference and path analysis; also the role of confounders can be assessed using feature selection in large regression models. The session addresses computational issues and includes applications to salary gap discrimination and cyber-security risk.
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Papers
1.
Inferring multiple treatment effects from observational studies using confounder importance learning Author(s) Omiros Papaspiliopoulos
2.
Path analysis in Ising models: an application to cyber-security risk assessment Author(s) Monia Lupparelli Giovanni Marchetti
3.
Causal Regularization Author(s) Lucas Kania Ernst Wit
Dipartimento di Scienze Economiche e Sociali (Di.S.E.S.)