Using computational algebra to classify probability trees

Algebraic statistics explores how tools from algebra and algebraic geometry can be used to tackle problems in statistical inference. In this talk I will report on some recent advances in this field. In particular, we will see how primary decomposition of monomial ideals can be used to classify probability trees which make the same distributional assumptions.