About the conference More information (Web site) We are happy to announce that the 30th Annual Meeting of the Royal Statistical Society of Belgium will take place in Louvain-la-Neuve on October 19 and 20, 2023 ! This edition of the annual meeting is organized by UCLouvain with the support of the Institute of Statistics, Biostatistics and Actuarial Sciences. Program : Soon available

Peter Grunwald, CWI and Leiden University will give a presentation on E is the new P Abstract: How much evidence do the data give us about one hypothesis versus another? The standard way to measure evidence is still the p-value, despite a myriad of problems surrounding it. We present the e-value, a recently popularized notion of evidence which overcomes some of these issues.

Olga Klopp will give a presentation on Assigning Topics to Documents by Successive Projections   Abstract: Topic models provide a useful tool to organize and understand the structure of large corpora of text documents, in particular, to discover hidden thematic structure.

Anne De Frenne (MathX), Bernadette Govaerts, Catherine Rasse and Christian Ritter (UCLouvain) Note: although a teams link to this session is provided, we do not recommend attending it remotely. Learning statistics by playing with physical objects In an era of so-called artificial intelligence, digital twins and virtual reality, we may easily forget the power of learning by playing with physic

SEMINAR by Daniel Hlubinka (Charles University, Czech Republic) on "Multivariate rank test: Measure transport approach" Abstract : Extending rank-based inference to a multivariate setting such as multiple-output regression or MANOVA with unspecified d-dimensional error density has remained an open problem for more than half a century.

WORKSHOP by Anastassia Negrouk (MyData-Trust) on "Data Privacy: GDPR & those who must not be identified" Abstract: The first part of the talk will present GDPR in the nutshell: key definitions, principles, and obligations. Thereafter, the application of different principles will be illustrated with the data cycle viewed from the angle of the Regulation.

WORKSHOP by Jessica Vandenbosch (Business and Decision) on "Data visualisation and dashboard fundamentals" Abstract: Whether you are a statistician, researcher, data analyst or data scientist, data visualisation and dashboard design skills are important to communicate your findings and complex information in a clear and effective way.

JOINT ISBA - LFIN SEMINAR by Tiziano Bellini (Prometeia) on ": Model Risk Quantification in Commercial Banking: A Statistical Framework" Abstract : A framework for quantifying model risks in commercial banking is proposed. Model Uncertainty is investigated from different angles with the aim to capture risks stemming from the model itself as well as its interaction with wider frameworks.

WORKSHOP by Mousumi Banerjee (University of Michigan) on "A machine learning based tandem approach to predict extubation failure in pediatric intensive care unit " Abstract : Pediatric cardiac critical care providers are often challenged with the equally important but often conflicting goals of minimizing patients’ exposure to mechanical ventilation and preventing extubation failure.

WORKSHOP by Quentin Clemens (SAS) on "The Machine Learning Use Case Assessment Canvas: A Practical Approach to Analytical Projects" Abstract : Using two broad use cases, students will be familiarized with the "Machine Learning Use Case Assessment Canvas", a framework for scoping, aligning and understanding the full "Analytics Lifecycle" of analytical projects before they've truly begun.