M. Volf and M. Studeny:
A graphical characterization of the largest chain graphs.
International Journal of Approximate Reasoning
20 (1999), pp. 209-236.
- Abstract
- The paper presents a direct (explicit) graphical
characterization of the largest chain graph which serves as a
unique representative of the class of Markov equivalent chain graphs.
The characterization is a basis for an algorithm constructing for a
given chain graph the largest chain graph equivalent to it. The
algorithm was used to generate a catalogue of the largest chain graphs
with at most five vertices. Every entry of the catalogue contains the
largest chain graph of a class of Markov equivalent chain graphs and
an economical record of the induced independency model.
Note that the characterization theorem and the algorithm presented
in this paper differ substantially form a former characterization
theorem and algorithm described in the paper:
- M. Studeny:
A recovery algorithm for chain graphs.
International Journal of Approximate Reasoning
17 (1997), n. 2-3, pp. 265-293.
- AMS classification 68T30, 62H05
- Keywords
- graphical models
- conditional independence
- chain graphs
- Markov equivalence
- the largest chain graph
- protected arrows
-
A
scanned pdf copy of the published paper (1188kB) is already open-access available.
The paper also builds on the following works:
- M. Frydenberg: The chain graph Markov property.
Scandinavian Journal of Statistics
17 (1990), n. 3, pp. 333-353.