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Seminar - Applied CATS

Applied Combinatorics, Algebra, Topology & Statistics

The seminar will take place in room 3721. Participants are also welcome to join via Zoom with meeting ID 62188086001 .

Next Talk

  • Tuesday 31 January (10:15 In person) Room 3721

    Lisa Nicklasson (University of Genova)

    Toric and non-toric ideals of Bayesian networks

    A Bayesian network is a discrete statistical model which can be presented graphically by a directed acyclic graph (DAG). Algebraically such a model can be described as a variety of a homogeneous prime ideal. A statistical model is toric if it is given by a toric variety, or equivalently if the ideal is binomial. In this talk we will discuss which DAG's give rise to toric models, and which do not. In the toric case we also investigate when the binomials are quadratic.

Belongs to: Mathematics of Data and AI
Last changed: Dec 08, 2022