Events

25/09/2026 - 14:30 - ISBA C115 -  Kayvan Sadeghi  (University College London) Will give a presentation on : Characterising and Identifying Graphical Causal ModelsAbstract: Using a characterization of faithfulness, we describe the foundational graph orientation rule in constraint-based causal structure learning and the assumptions under which it recovers the “corr

18/09/2026 - 09:00 - ISBA C115 -  9h00  Introduction9h10  Tommaso Martini"Smoothing Copulas Without Smoothing Away Tail Dependence"Abstract:Smooth nonparametric copula estimators have been found to improve finite-sample performance over the empirical copula in a range of settings. A prominent example is the empirical beta copula introduced by Segers, Sibuya, and Tsukahara.

02/10/2026 - 14:30 - ISBA C115 -  Consulting Course 2025/26Will give a presentation on : Generating Narratives for Development ProjectsResults from the collaboration between the Consulting Class of 2025/26 with the Belgian Foreign Service This seminar will consist of two parts.Part 1: 14h30-15h30In part 1, we will discuss the problem of creating, checking and delivering narrati

16/10/2026 - 14:30 - ISBA C115 -  Thomas Jaki  (Cambridge University) Will give a presentation on : Controlling false decision errors in platform trialsAbstract: Platform trials are a new class of clinical study design that allow treatment arms to enter and leave the trial over time and have proven to be particularly popular during the COVID-19 pandemic

29-30/10/2026 - 09:30 -   Margaux Zaffran (Laboratoire de Mathématiques d’Orsay) The course will be held at ISBA, UCLouvain (20 Voie du Roman Pays, Louvain-la-Neuve) on:Thursday October, 29th, 2026, 9h30-12h30 and 13h30-15h (Room C115);Friday October, 30th, 2026, 9h30-12h30 and 13h30-15h (Room C115).To better organize the event, may we kindly ask you to register (before October

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27/11/2026 - 11:00 - ISBA C115 -  Ivan Kojadinovic  (Université de Pau et des Pays de l'Adour) Will give a presentation on : An algorithmic procedure for solving the generalized minimum information checkerboard copula problemAbstract: The minimum information copula principle (see Meeuwissen and Bedford, 1997) is a maximum entropy-like approach for finding the least in

More details coming soon

11/12/2026 - 14:30 - ISBA C115 -  Alessandra Luati  (Imperial College London) More details coming soon

13/11/2026 - 14:30 - ISBA C.115 -  Kellie Archer (The Ohio State University) Will give a presentation on : High-Dimensional Mixture Cure Models for Time-to-Event Data Abstract: Medical breakthroughs in recent decades have led to cures for many diseases including cancer.