BIDSA
Our aim is to promote and conduct theoretical and applied research that addresses challenging issues arising from the analysis of large-scale datasets and the modeling of the underlying complex phenomena. We are building a community of high-profile scholars to bridge the gap across Data Science disciplines and support the training of the new generation of data scientists by providing them with advanced statistical, mathematical and computational skills.

News&Events

ROOM 3.E4.SR03
17/12/2018 h.12.30
BIDSA Seminar: "Rough-glassy landscapes from inference to machine learning”
BIDSA Seminar Series Fall 2018 - “Rough-glassy landscapes from inference to machine learning” - Chiara Cammarota, King's College London
ROOM 3.B3.SR01
11/12/2018 h.12.30
BIDSA Seminar: “Uniform, nonparametric, non-asymptotic confidence sequences”
BIDSA Seminar Series Fall 2018 - “Uniform, nonparametric, non-asymptotic confidence sequences” - Aaditya Ramdas, Carnegie Mellon University
Room 3.e4.sr03
15/11/2018 h.12.30
BIDSA Seminar: “A model for a sequence of partitions evolving in time and space”
BIDSA Seminar Series Fall 2018 - "A model for a sequence of partitions evolving in time and space" - Fernando Quintana, Pontificia Universidad Católica de Chile
Room N15
13/11/2018 h.12.30
BIDSA Seminar: "Training replicable predictors in multiple studies" (joint with IGIER and Dondena)
Joint Seminar BIDSA, IGIER and Dondena: “Training replicable predictors in multiple studies” - Giovanni Parmigiani, Harvard University

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