Johan Segers
Professor
KU Leuven
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Johan Segers is a Professor at KU Leuven in Belgium. His research areas encompass multivariate extremes, probabilistic forecasts, and graphical models, as evidenced by his recent publications on topics such as X-vine models, tail calibration, and Markov trees. He also explores advanced concepts in random fields and Monte Carlo integration methodologies.
Articles (10)
Collaborators (4)
Anne Sabourin
Full professor
Université Paris Cité
FRANCE
Johanna Ziegel
University of Bern
SWITZERLAND
Anna Kiriliouk
University of Namur
BELGIUM
Gilles Mordant
Gibbs Assistant Professor
Yale University
UNITED STATES
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