summary:An overview is given of results achieved by F. Matúš on probabilistic conditional independence (CI). First, his axiomatic characterizations of stochastic functional dependence and unconditional independence are recalled. Then his elegant proof of discrete probabilistic representability of a matroid based on its linear representability over a finite field is recalled. It is explained that this result was a basis of his methodology for constructing a probabilistic representation of a given abstract CI structure. His embedding of matroids into (augmented) abstract CI structures is recalled and his contribution to the theory of semigraphoids is mentioned as well. Finally, his results on the characterization of probabilistic CI structure...
Abstract: As the paper explains, it is crucial to epistemology in general and to the theory of causa...
Conditional independence almost everywhere in the space of the conditioning variates does not imply ...
In this paper we study conditional independence structures arising from conditional probabilities an...
summary:An overview is given of results achieved by F. Matúš on probabilistic conditional independen...
. Special conditional independence structures have been recognized to be matroids. This opens new po...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
The semigraphoid closure of every couple of CI-statements (CI=conditional independence) is a stochas...
Probabilistic Conditional Independence Structures provides the mathematical description of probabili...
summary:The simultaneous occurrence of conditional independences among subvectors of a regular Gauss...
This short expository paper outlines applications of computer algebra to the implication problem of ...
this paper, the semigraphoid closure of every couple of CI-statements is proved to be a CI-model. Th...
summary:In this paper, we characterise and classify a list of full conditional independences via the...
AbstractThe concept of conditional independence (CI) within the framework of natural conditional fun...
AbstractWe deal with conditional independencies, which have a fundamental role in probability and mu...
AbstractThe logical and algorithmic properties of stable conditional independence (CI) as an alterna...
Abstract: As the paper explains, it is crucial to epistemology in general and to the theory of causa...
Conditional independence almost everywhere in the space of the conditioning variates does not imply ...
In this paper we study conditional independence structures arising from conditional probabilities an...
summary:An overview is given of results achieved by F. Matúš on probabilistic conditional independen...
. Special conditional independence structures have been recognized to be matroids. This opens new po...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
The semigraphoid closure of every couple of CI-statements (CI=conditional independence) is a stochas...
Probabilistic Conditional Independence Structures provides the mathematical description of probabili...
summary:The simultaneous occurrence of conditional independences among subvectors of a regular Gauss...
This short expository paper outlines applications of computer algebra to the implication problem of ...
this paper, the semigraphoid closure of every couple of CI-statements is proved to be a CI-model. Th...
summary:In this paper, we characterise and classify a list of full conditional independences via the...
AbstractThe concept of conditional independence (CI) within the framework of natural conditional fun...
AbstractWe deal with conditional independencies, which have a fundamental role in probability and mu...
AbstractThe logical and algorithmic properties of stable conditional independence (CI) as an alterna...
Abstract: As the paper explains, it is crucial to epistemology in general and to the theory of causa...
Conditional independence almost everywhere in the space of the conditioning variates does not imply ...
In this paper we study conditional independence structures arising from conditional probabilities an...