On Grobner bases of Elimination and Toric Ideals describing Maximum Entropy models
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My main aim in this talk is to introduce some notions on
how results from commutative algebra and algebraic geometry can be
used in analysis of statistical models, in particular, maximum entropy
models. First, I will give a brief introduction of Grobner bases and
its applications to algebraic geometry. I will show that maximum
entropy models can be described with toric ideals by embedding them in
algebraic varieties (by means of the Zariski closure). Based on these ideas,
I will present some algebraic methods for estimation of these models along
with some applications. Finally, I will discuss some ideas and problems on
certain algebraic quantities serving as complexity measures for these
models.
This talk is part of the Statistics series.
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