
About
Johan Segers is a Full Professor at the Department of Mathematics, KU Leuven, and a Visiting Professor at the Institut de statistique, biostatistique et sciences actuarielles (UCLouvain). His research bridges extreme value theory, copulas, statistical learning, and optimal transport, with applications in finance, environmental risk analysis, and multivariate statistics.
- Research Trends: Focus on extremal dependence, vine copulas, and Monte Carlo methods.
- Recent Article Trends: Combines extreme value theory with graphical models and optimal transport for high-dimensional data analysis.
Awards & Honors:
- Prix Adolphe Wetrems (2012–2013) from the Académie Royale des Sciences, des Lettres et des Beaux-arts de Belgique
- Fellow of the Institute for Mathematical Statistics (IMS)
- Elected Member of the International Statistical Institute (ISI)
Editorial Roles: Associate Editor for Advances in Applied Probability, Bernoulli, Electronic Journal of Statistics, and others. He also contributes to software development, including the R-package spatialTailDep.
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