Workshop: Post-selection inference and multiple testing
From Feb 7, 2018 (noon) to Feb 9, 2018 (early afternoon).
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 bring together mathematicians, computer scientists, and biomedical scientists in order to discuss these challenges and present dedicated innovative approaches and their applications.
post-selection inference -- selective inference -- multiple testing -- multi-scale data -- genomics -- neuro-imaging
Registration has not opened yet.
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)