65th ISI World Statistics Congress 2025 | The Hague

65th ISI World Statistics Congress 2025 | The Hague

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Advances in Directional Statistics

Organiser

AM
Andrea Meilán-Vila

Participants

  • CL
    PROF. DR. Christophe Ley     (Chair)

  • LR
    Prof. Louis-Paul Rivest     (Presenter/Speaker)
  • Semi parametric inference for multivariate circular models

  • RC
    Rosa M. Crujeiras     (Presenter/Speaker)
  • Analysing complex relations in circular data

  • AB
    PROF. DR. Andriette Bekker     (Presenter/Speaker)
  • Regularized directional regression models

  • TA
    PROF. DR. Toshihiro Abe     (Presenter/Speaker)
  • A cylindrical model based on the normal distribution with a regression model

  • FL
    Prof. Francesco Lagona     (Discussant)

    • Conference

    65th ISI World Statistics Congress 2025 | The Hague

    Proposal Description

    Directional Statistics is a branch of the discipline of Statistics that deals with data concerning the circumference, sphere, or Cartesian products thereof with other manifolds. Specific instances of directional data appear in astronomy, medicine, acoustics, image analysis, text mining, environmetrics, and machine learning. The primary challenge encountered when handling this type of data arises from the curvature of the sample space, given that it represents a non-linear manifold. This session aims to stimulate research in Directional Statistics, bring together researchers in the field to share their latest results, and identify interesting new problems and applications.

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