Valentina Ghidini

Contributed Session
Bayesian methods and applications 3
Chair: Raffaele Argiento (Università degli studi di Bergamo)
Discussant: Lucia Paci (Università Cattolica del Sacro Cuore)
Room: T36
Floor: ground

Paper
Binomial Extended Stochastic Block Model for Brain Networks Author(s)  Raffaele Argiento   Valentina Ghidini   Sirio Legramanti

Invited Session
Bayesian contributions to Statistical Learning
Organizer/Chair: Federico Camerlenghi (Università di Milano-Bicocca)
Discussant: Alessandra Guglielmi (Politecnico di Milano)
Room: T32
Floor: ground
Short summary: Bayesian statistical methods include a large variety of effective tools to face prediction, statistical learning and estimation via a principled approach. The session is focused on some recent hierarchical Bayesian models, which are designed for different applied problems arising, e.g., in precision medicine and cancer detection. Both Bayesian parametric and nonparametric methods will be discussed.

Paper
Linear models with assumptions-free residuals: a Bayesian Nonparametric approach. Author(s)  Filippo Ascolani   Valentina Ghidini