COMPSTAT 2024 Special Invited Sessions
  • Advanced statistical tools in risk modelling and high-dimensional estimation
    Organizer: Alessandra Amendola
    Emese Lazar, University of Reading, UK.
    Mark Podolskij, University of Luxembourg, Luxembourg.
    Massimiliano Caporin, University of Padua, Italy.
  • Recent advances in optimal design of experiments
    Organizer: Stefanie Biedermann
    Maryna Prus, Universitat Hohenheim, Germany.
    Kirsten Schorning, TU Dortmund, Germany.
    Lenka Filova, Comenius University Bratislava, Slovakia.
  • TBA
    Organizer: Malgorzata Bogdan
  • Measure transportation as a tool for statistical inference
    Organizer: Marc Hallin
    Fang Han, University of Washington, Seattle, USA.
    Alberto Gonzalez-Sanz, Columbia University, USA.
    Hang Liu, University of Science and Technology of China, Hefei.
  • Learning from machine learning by structuring
    Organizer: Stefan Sperlich
    Munir Hiabu, University of Copenhagen, Denmark.
    Michael Scholz, University of Klagenfurt, Austria.
    Katarzyna Reluga, University of Bristol, UK.
  • Bayesian computational methods
    Organizer: Mattias Villani
    Christian Robert, Université Paris-Dauphine, France.
    Christian A. Naesseth, University of Amsterdam, Netherlands.
    David Widmann, PumasAI, USA.