Neon

News&Events

19.05.2022
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BIDSA HYBRID SEMINAR "The role of Preferential Sampling in Spatial and Spatio-temporal Geostatistical Modeling"

BIDSA Hybrid Seminar 2022: Alan Gelfand, Duke University

26/04/2022
Opening the Black Box

Bocconi Professors Sandra Fortini and Sonia Petrone propose a new methodology to shed light on black box algorithms by using the predictive approach that is typical of Bayesian statistics 

08/04/2022
Two Bocconi PhD Graduates in the Final Phase of the Savage Award

Marta Catalano and Augusto Fasano compete for the acknowledgement with their theses in Bayesian statistics

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BIDSA Hybrid Seminar "Sharp excess risk bounds without the Bernstein condition: An algorithmic viewpoint"

BIDSA Hybrid Seminar 2022: Patrick Rebeschini, University of Oxford

30/03/2022
Understanding Uncertainty in Machine Learning Algorithms

Botond Szabo obtained an ERC starting grant to assess the fundamental properties of statistical and machine learning methods widely used when deadling with large quantities of complex data, as in medical imaging, autonomous cars, or in dating the Big Bang

 

 

30/03/2022
Connected Risks in a Connected World

Bocconi Professor Simone Padoan develops novel tools in extreme value theory that allow, for exemple, to jointly study the shocks in the exchange rates of multiple currencies 

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BIDSA Hybrid Seminar: "Dependent censoring based on copulas”

BIDSA Hybrid Seminar 2022: Ingrid Van Keilegom, KU Leuven

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BIDSA Hybrid Seminar: "On models for Monkey’s grammar: using a Bayesian non parametric approach to test between regular and context free"

BIDSA Hybrid Seminar 2022: Judith Rousseau, University of Oxford

24/01/2022
Botond Szabo on the Annals of Statistics Editorial Board

The Bocconi Associate Professor was named Associate Editor of the journal published by the Institute of Mathematical Statistics.

24/01/2022
New ERC Projects in Statistics and Cryptography at BIDSA

Two new ERC projects awarded at BIDSA: Botond Szabo's Starting Grant "The missing mathematical story of Bayesian uncertainty quantification for big data" and Alon Rosen's Advanced Grant "Fine-Grained Cryptography"