Workshop: Post-Selection Inference and Multiple Testing


Du 7 février 2018 (14h) au 9 février 2018 (12h30)


Institut de Mathématiques de Toulouse


The number and size of available data sets of different types has increased dramatically over the past twenty years. This increase has triggered a shift from hypothesis-driven research to data-driven research in many scientific areas. The recent fields of selective inference and post-selection inference aim at developing mathematically sound frameworks to provide confidence statements on findings that may have undergone selection effects (cherry-picking). This is particularly challenging in biomedical sciences and neuro-imaging, where the data are typically heterogeneous and complex.  The goal of this workshop is to discuss these challenges and present dedicated innovative approaches and their applications. 

Orateurs confirmés

  • Jean-Marc Azaïs (IMT, University of Toulouse)
  • Yuval Benjamini (University of Jerusalem, Israel)
  • Andreas Buja (The Wharton School, University of Pennsylvania, USA)
  • Jelle Goeman (University of Leiden, the Netherlands)
  • Ruth Heller (University of Tel-Aviv, Israel)
  • Nikolaos Ignatiadis (Stanford University, USA)
  • Matthieu Lerasle (Université Paris-Sud and CNRS, France)
  • Amit Meir (University of Washington, USA)
  • David Preinerstorfer (Université Libre de Bruxelles, Belgium)
  • Aaditya Ramdas (University of California at Berkeley)
  • Aldo Solari (University of Milano-Bicocca, Italy)


Mots clés

Inférence après sélection de modèle -- inférence sélective -- tests multiples -- données multi-échelle -- génomique -- neuro-imagerie


L'inscription au workshop est gratuite mais obligatoire.


Mélisande Albert (INSA Toulouse, Institut de Mathématiques de Toulouse)

Gilles Blanchard (Universität Potsdam, Institut für Mathematik)

Pierre Neuvial (CNRS, Institut de Mathématiques de Toulouse)

Etienne Roquain (Université de Paris 6, Laboratoire de Probabilités et Modèles Aléatoires)

Contact: Pierre Neuvial