Essential graphs and largest chain graphs are well-established graphical representations of equivalence classes of directed acyclic graphs and chain graphs respectively, especially useful in the context of model selection. Recently, the notion of a labelled block ordering of vertices B was introduced as a flexible tool for specifying subfamilies of chain graphs. In particular, both the family of directed acyclic graphs and the family of \u201cunconstrained\u201d chain graphs can be specified in this way, for the appropriate choice of B. The family of chain graphs identified by a labelled block ordering of vertices B is partitioned into equivalence classes each represented by means of a B-essential graph. In this paper, we introduce a topolo...
In this paper, a new algorithm for the automatic enumeration of the topological structures of mechan...
AbstractThe class of chain graphs (CGs) involving both undirected graphs (=Markov networks) and dire...
A Markov property associates a set of conditional independencies to a graph. Two alternative Markov ...
Essential graphs and largest chain graphs are well-established graphical representations of equivale...
Conditional independence, Graphical model, Labelled block ordering, Markov equivalence, Markov prope...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
ABSTRACT. In graphical modelling, the existence of substantive background knowledge on block orderin...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
AbstractThe paper presents a graphical characterization of the largest chain graphs which serve as u...
The class of quasi-chain graphs is an extension of the well-studied class of chain graphs. This latt...
Chain graph (CG) is a general model of graphical Markov models. Some different chain graphs may desc...
AbstractA chain graph is a digraph whose strong components are undirected graphs and a directed acyc...
This paper deals with chain graph models under alternative AMP interpretation. A new representative ...
This thesis proposes new algorithms for the enumeration of the topological structure of mechanisms. ...
In this paper, a new algorithm for the automatic enumeration of the topological structures of mechan...
AbstractThe class of chain graphs (CGs) involving both undirected graphs (=Markov networks) and dire...
A Markov property associates a set of conditional independencies to a graph. Two alternative Markov ...
Essential graphs and largest chain graphs are well-established graphical representations of equivale...
Conditional independence, Graphical model, Labelled block ordering, Markov equivalence, Markov prope...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
ABSTRACT. In graphical modelling, the existence of substantive background knowledge on block orderin...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
In graphical modelling, the existence of substantive background knowledge on block ordering of varia...
AbstractThe paper presents a graphical characterization of the largest chain graphs which serve as u...
The class of quasi-chain graphs is an extension of the well-studied class of chain graphs. This latt...
Chain graph (CG) is a general model of graphical Markov models. Some different chain graphs may desc...
AbstractA chain graph is a digraph whose strong components are undirected graphs and a directed acyc...
This paper deals with chain graph models under alternative AMP interpretation. A new representative ...
This thesis proposes new algorithms for the enumeration of the topological structure of mechanisms. ...
In this paper, a new algorithm for the automatic enumeration of the topological structures of mechan...
AbstractThe class of chain graphs (CGs) involving both undirected graphs (=Markov networks) and dire...
A Markov property associates a set of conditional independencies to a graph. Two alternative Markov ...