High dimensional Bernoulli distributions: algebraic representation and
applications
Bernoulli (Bernoulli), 2022
Abstract
The main contribution of this paper is to find a representation of the class of multivariate Bernoulli distributions with the same mean that allows us to find its generators analytically in any dimension. We map to an ideal of points and we prove that the class can be generated from a finite set of simple polynomials. We present two applications. Firstly, we show that polynomial generators help to find extremal points of the convex polytope in high dimensions. Secondly, we solve the problem of determining the lower bounds in the convex order for sums of multivariate Bernoulli distributions with given margins, but with an unspecified dependence structure.
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