In an independence model, the triplets that represent conditional independences between singletons are called elementary. It is known that the elementary triplets represent the independence model unambiguously under some conditions. In this paper, we show how this representation helps performing some operations with independence models, such as finding the dominant triplets or a minimal independence map of an independence model, or computing the union or intersection of a pair of independence models, or performing causal reasoning. For the latter, we rephrase in terms of conditional independences some of Pearls results for computing causal effects. (C) 2016 Elsevier Inc. All rights reserved
The construction of causal graphs from non-experimental data rests on a set of constraints that the ...
The rules of d-separation provide a framework for deriving conditional independence facts from model...
The construction of causal graphs from non-experimental data rests on a set of constraints that the ...
In an independence model, the triplets that represent conditional independences between singletons a...
This work investigates the intersection property of conditional independence. It states that for ran...
This thesis is concerned with developing a theory of model-theoretic tree properties. These propert...
We present a framework for studying the concept of independence in a general context covering databa...
A semi-graphoid independence relation is a set of independence statements, called triplets, and is t...
We deal with the problem of combining sets of independence statements coming from different experts....
Semi-graphoid independence relations, composed of independence triplets, are typically exponentially...
Contains fulltext : 33343.pdf (preprint version ) (Open Access
In this paper we study conditional independence structures arising from conditional probabilities an...
AbstractWe study three conditions of independence within evidence theory framework. The first condit...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
We study properties of semi-elementary imsets and elementary imsets introduced by Studeny [10]. The ...
The construction of causal graphs from non-experimental data rests on a set of constraints that the ...
The rules of d-separation provide a framework for deriving conditional independence facts from model...
The construction of causal graphs from non-experimental data rests on a set of constraints that the ...
In an independence model, the triplets that represent conditional independences between singletons a...
This work investigates the intersection property of conditional independence. It states that for ran...
This thesis is concerned with developing a theory of model-theoretic tree properties. These propert...
We present a framework for studying the concept of independence in a general context covering databa...
A semi-graphoid independence relation is a set of independence statements, called triplets, and is t...
We deal with the problem of combining sets of independence statements coming from different experts....
Semi-graphoid independence relations, composed of independence triplets, are typically exponentially...
Contains fulltext : 33343.pdf (preprint version ) (Open Access
In this paper we study conditional independence structures arising from conditional probabilities an...
AbstractWe study three conditions of independence within evidence theory framework. The first condit...
We explore the conditional probabilistic independences of systems of random variables (I ; J jK), to...
We study properties of semi-elementary imsets and elementary imsets introduced by Studeny [10]. The ...
The construction of causal graphs from non-experimental data rests on a set of constraints that the ...
The rules of d-separation provide a framework for deriving conditional independence facts from model...
The construction of causal graphs from non-experimental data rests on a set of constraints that the ...