Workshop "Algebraic statistics"

Séminaire « Géométrie algébrique » Colloque
Salle de réunion (Bâtiment M2, 1er étage)

Page web de la rencontre : https://www.mathconf.org/algstat2026

Topic

We are organizing a two-day workshop focused on algebraic statistics, primarily aimed at researchers at the PhD level and beyond. The event will offer both an introductory overview for non-specialists and a presentation of current challenges and active research directions in the field.

For a recent review of major open questions, see the work by Alexandre et al. The topics addressed in this area sit at the crossroads of multilinear algebra, algebraic geometry, combinatorics, symbolic computation, probability, and statistics.

A key example is the identifiability of statistical models. In simple terms, a model is identifiable if different parameter values lead to different probability distributions. The algebraic and geometric study of this property often involves analyzing the dimension of the model (in the Zariski topology sense) or examining matroids defined by the independent columns of the model's Jacobian matrix.

Speakers:

  • Omid Amini, Ecole Polytechnique,
  • Amaël Broustet, Université de Lille,
  • Rodica Dinu, Universität Konstanz,
  • Eliana Duarte, Universidade do Porto,
  • Ben Hollering, WIAS Berlin,
  • Ilia Itenberg, Paris Sorbonne Université,
  • Bixuan Liu, Paris Sorbonne Université,
  • Catherine Matias, Paris Sorbonne Université,
  • Aida Maraj, Max Planck Institute of Molecular Cell Biology and Genetics Dresden,
  • Irem Portakal, Max Planck Institute for Mathematics in the Sciences Leipzig,
  • Liam Solus, KTH Royal Institute of Technology Stockholm,
  • Martin Vodicka, Šafarik University.

## Some practical information:

  • Informations about the conference room, hotels, travel and more are available on the page Useful informations.

Organizers:

With the support of:

Laboratoire Paul Painlevé, CDP C²EMPI, Fédération de Recherche Mathématique du Nord Pas de Calais, Inria, CNRS, Université de Lille.

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