Algebraic geometry with a view towards applications

  • Eliana Duarte (MPI MiS, Leipzig + Otto von Guericke University Magdeburg)
Live Stream


Computational algebraic geometry offers a concrete approach to study systems of polynomial equations in several variables. This is useful in several applications in engineering and data science. In this talk we focus on its application in Statistics to study graphical models. We study these models using combinatorics, toric geometry and algebra. Our results provide a more general framework, using staged tree models, to understand the defining equations of widely known graphical models such as decomposable models and discrete Bayesian networks.


3/17/20 2/21/22

Nonlinear Algebra Seminar Online (NASO)

MPI for Mathematics in the Sciences Live Stream

Katharina Matschke

MPI for Mathematics in the Sciences Contact via Mail