COMPSTAT 2023 Special Invited Sessions
  • Robust statistics for modern inference problems
    Organizer: Eva Cantoni
    Ines Wilms, Maastricht University, The Netherlands.
    Davide La Vecchia, University of Geneva, Switzerland.
    Samuel Muller, Macquarie University, Australia.
  • Bayesian nonparametric methods and computing
    Organizer: Michele Guindani
    Luciana Dalla Valle, University of Plymouth, United Kingdom.
    Federico Camerlenghi, University of Milano-Bicocca, Italy.
    Yordan Raykov, University of Nottingham, United Kingdom.
  • Change-point analysis
    Organizer: Ivan Kojadinovic
    Greg Rice, University of Waterloo, Canada.
    Tengyao Wang, London School of Economics and Political Science, UK.
    Claudia Kirch, Otto-von-Guericke University Magdeburg, Germany.
  • Bayesian models: Inference and applications
    Organizer: Ioanna Manolopoulou
    Michael Daniels, University of Florida, United States.
    Richard Hahn, Arizona State University, United States.
    Alexander Franks, UC Santa Barbara, United States.
  • Modern statistical analysis for dependent data
    Organizer: Mike So
    Henghsiu Tsai, Academia Sinica, Taiwan.
    Manabu Asai, Soka University, Japan.
    Cy Sin, National Tsing Hua University, Taiwan.
  • Recent advances in dimension reduction methods
    Organizer: Sara Taskinen
    Sandra de Iaco, University of Salento, Italy.
    Andreas Artemiou, Cardiff University, UK.
    Klaus Nordhausen, University of Jyvaskyla, Finland.