Statistical methods and models for complex data

800 years of research to understand a complex world

Invited keynote speakers

Annette Baudisch

Syddansk Universitet
Denmark

Emmanuel Candès

Stanford University
USA

Bianca Maria Colosimo

Politecnico Milan
Italy

Daniele Durante

Università Bocconi, Milano
Italia

Sylvia Frühwirth-Schnatter

Wirtschaftsuniversität Wien
Austria

Irène Gijbels

KU Leuven
Belgium

Emily Grundy

University of Essex
UK

Rob J. Hyndman

Monash University, Melbourne
Australia

Xiao-Li Meng

Harvard University
USA

Art B. Owen

Stanford University
USA

Giovanni Parmigiani

Harvard University
USA

Christian P. Robert

Université Paris-Dauphine
France

Judith Rousseau

University of Oxford
UK

Laura Sangalli

Politecnico Milan
Italy

Alessandro Vespignani

Northeastern University
USA

Statistical methods and models for complex data | Department of Statistical Sciences | Fund by MIUR Project Department of Excellence 2018-2022