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Bienvenue - Laboratoire Jacques-Louis Lions

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Un poste de lecturer IA est annoncé sur le site de SCAI


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


Leçons J.-L. Lions 2017 - 14 03 2017 11h30 : Mini-cours 1 E. Candès

Emmanuel Candès (Université de Stanford)
Leçons Jacques-Louis Lions 2017 - Mini-cours 1
Statistics for the big data era
(pdf du Mini-cours 1 - 5.5 Mo)Nouvelle fenêtre

Le mini-cours 1 (mardi 14 mars 2017 de 11h30 à 13h00) a eu lieu dans l’amphithéâtre 56 B (entrée niveau Jussieu près de la tour 55, entre la tour 55 et la pyramide 55-56-66-65).

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.