Feel free to use this for inspiration; do not use without acknowledging your sources.
Un premier cours de probabilité (ULB, 2025) : syllabus - exercices
Un second cours de probabilité (ULB, UNamur, 2025) : syllabus - exercices
Computational sampling (VUB, 2025) : course notes
A primer on Stein's method (ULB, 2025) : course notes
Time series analysis (ULB, 2025) : slides - exercises
PostDocs
Pierre Zuyderhoff (09/2021 - 03/2022) - now Assistant Professor in Applied Mathematics · University of Nottingham, Ningbo, China (UNNC)
Elise Vandomme (01/2019 - 01/2020) - now Assistant Professor at HEC Liège
Benjamin Arras (09/2015 - 10/2016) - now “Maître de conférence” at Lille 1 University, France
Guillaume Mijoule (09/2015 - 09/2017)
Thomas Gallouët (08/2016 - 09/2017) - now “Maître de conférence” at INRIA Paris - team MOKAPLAN, France)
PhD students
Ferdinand Rapin, (started 10/2023)
Paul Mansanarez, (started 10/2022, with Guillaume Poly)
Adrian Fischer "Stein's method with applications in statistics" (defended 1 October 2023, jointly supervised with Robert Gaunt)
Germain Gilles "Three contributions to Stein's method" (defended February 5 2025)
Marie Ernst, “Contributions to spatial data analysis and Stein’s method”, Thesis ULiège (defended 17 December 2019, jointly supervised with Gentiane Haesbroeck)
Emilie Clette (10/2015 - 09/2017)
Master thesis
Rachel Tchanga, "Comparaison d’Algorithmes pour la D´etection de Fraude en Assurance : Application au Secteur Automobile" (ULB, 2025)
Luc Hirsch, "From Independent to Dependent Censoring in Cox Models: A Counting Process and Copula-Based Approach" (ULB, 2025)
Nizar Bargach, "Modélisation non linéaire par opérateur de Koopman : application de la DMD aux marchés financiers" (ULB, 2025)
Louis Deprez, "Gambling under uncertainty - an extension of Sun’s Robust Kelly" (ULB, 2025)
Jonathan Baram, "Quantitative CLTs in Deep Neural Networks" (ULB, 2024)
Rachel Tchanga, "A comparison of algorithms for change point detection" (ULB, 2024)
Guillaume Baquet, "A short discussion on functional data and covariance function estimation" (ULB, 2024)
Damien Nizery (ULB, 2023)
Ferdinand Rapin, "Mill's ratio, Student and Gauss" (ULB, 2022)
Luigi Ghiani, "Modelling of Electricity Trading in the Epex Intraday Market with Machine Learning, Stochastic Volatility Models and Time Series" (ULB, 2021)
Emiliano Degasperi, " Weather Forecasting for Renewable Energy Generation: a Time Series Analysis Approach" (ULB, 2021)
Jessica Undi, "Measures of correlation", (ULB, 2021)
Steven Vander Eeckt, “Changepoint detection in time series: a review”, (ULB, 2020)
Germain Gilles, “Constantes de Poincaré et indice de Sobol”, (ULB, 2020)
Tom Demaret, “Shrinkage estimators for elliptical distributions”, (ULiège, 2019)
Aslan Davud, “Statistical methods in soccer”, Uliège (ULiège, 2020)
Cécile Adam, “Some asymptotic distributional results and their rates of convergence”, (KUL, 2016)
Adrien Plomteux, “Stein factors for absolutely continuous distributions with interval support and applications”, (ULg, 2016)
Charline Dony, “Distances entre mesures de probabilité”, (ULg, 2015)
Rachel Syfer, “Caractérisations de Stein et Applications”, (ULB, 2012)
Carine Bartholmé, “The disruption problem in discrete time”, (ULB, 2010)
Charlotte Devaux, “Problèmes de meilleurs choix”, (ULB, 2007)