Selfadhesivity is a property of entropic polymatroids which guarantees that the polymatroid can be glued to an identical copy of itself along arbitrary restrictions such that the two pieces are independent given the common restriction. We show that positive definite matrices satisfy this condition as well and examine consequences for Gaussian conditional independence structures. New axioms of Gaussian CI are obtained by applying selfadhesivity to the previously known axioms of structural semigraphoids and orientable gaussoids.Comment: 13 pages; v3: minor revisio
This short expository paper outlines applications of computer algebra to the implication problem of ...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
This article is concerned with two notions of generalized matroid representations motivated by infor...
summary:The simultaneous occurrence of conditional independences among subvectors of a regular Gauss...
Gaussian double Markovian models consist of covariance matrices constrained by a pair of graphs spec...
summary:In this paper, we characterise and classify a list of full conditional independences via the...
A gaussoid is a combinatorial structure that encodes independence in probability and statistics, jus...
AbstractTwo polymatroids are adhesive if a polymatroid extends both in such a way that two ground se...
. Special conditional independence structures have been recognized to be matroids. This opens new po...
AbstractWe show that there can be no finite list of conditional independence relations which can be ...
summary:The number of $n$-gaussoids is shown to be a double exponential function in $n$. The necessa...
Seth Sullivant was partially supported by the David and Lucille Packard Foundation and the US Nation...
Abstract. Conditional independence in a multivariate normal (or Gaussian) distribution is characteri...
AbstractConditional independence models in the Gaussian case are algebraic varieties in the cone of ...
summary:An overview is given of results achieved by F. Matúš on probabilistic conditional independen...
This short expository paper outlines applications of computer algebra to the implication problem of ...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
This article is concerned with two notions of generalized matroid representations motivated by infor...
summary:The simultaneous occurrence of conditional independences among subvectors of a regular Gauss...
Gaussian double Markovian models consist of covariance matrices constrained by a pair of graphs spec...
summary:In this paper, we characterise and classify a list of full conditional independences via the...
A gaussoid is a combinatorial structure that encodes independence in probability and statistics, jus...
AbstractTwo polymatroids are adhesive if a polymatroid extends both in such a way that two ground se...
. Special conditional independence structures have been recognized to be matroids. This opens new po...
AbstractWe show that there can be no finite list of conditional independence relations which can be ...
summary:The number of $n$-gaussoids is shown to be a double exponential function in $n$. The necessa...
Seth Sullivant was partially supported by the David and Lucille Packard Foundation and the US Nation...
Abstract. Conditional independence in a multivariate normal (or Gaussian) distribution is characteri...
AbstractConditional independence models in the Gaussian case are algebraic varieties in the cone of ...
summary:An overview is given of results achieved by F. Matúš on probabilistic conditional independen...
This short expository paper outlines applications of computer algebra to the implication problem of ...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
This article is concerned with two notions of generalized matroid representations motivated by infor...