|
Chiffres-clé
Chiffres clefs
189 personnes travaillent au LJLL
86 permanents
80 chercheurs et enseignants-chercheurs permanents
6 ingénieurs, techniciens et personnels administratifs
103 personnels non permanents
74 doctorants
15 post-doc et ATER
14 émérites et collaborateurs bénévoles
Chiffres janvier 2022
A voir
Leçons J.-L. Lions 2017 - 15 03 2017 11h30 : Mini-cours 2 E. Candès
Emmanuel Candès (Université de Stanford)
Leçons Jacques-Louis Lions 2017 - Mini-cours 2
Statistics for the big data era
Le mini-cours 2 (mercredi 15 mars de 11h30 à 13h00) a eu lieu dans l’amphithéâtre 55 A (entrée face à la tour 55 niveau dalle Jussieu).
(pdf du Mini-cours 2 - 9.5 Mo)
Abstract
For a long time, science has operated as follows : a scientific theory can only be empirically tested, and only after it has been advanced. Predictions are deduced from the theory and compared with the results of decisive experiments so that they can be falsified or corroborated. This principle formulated by Karl Popper and operationalized by Ronald Fisher has guided the development of scientific research and statistics for nearly a century. We have, however, entered a new world where large data sets are available prior to the formulation of scientific theories. Researchers mine these data relentlessly in search of new discoveries and it has been observed that we have run into the problem of irreproducibilty. Consider the April 23, 2013 Nature editorial : "Over the past year, Nature has published a string of articles that highlight failures in the reliability and reproducibility of published research." The field of statistics needs to re-invent itself to adapt to the new reality where scientific hypotheses/theories are generated by data snooping. We will make the case that statistical science is taking on this great challenge and discuss exciting achievements.