Ancestral Graph Markov Models
| Abstract | This paper introduces a class of graphical independence models that is closed under marginalization and conditioning but that contains all DAG independence models. This class of graphs, called maximal ancestral graphs, has two attractive features: there is at most one edge between each pair of vertices; every missing edge corresponds to an independence relation. These features lead to a simple parameterization of the corresponding set of distributions in the Gaussian case. | |||||||||
| Keywords | No keywords specified (fix it) | |||||||||
| Categories | No categories specified (fix it) | |||||||||
| Options |
|
|||||||||
Download options| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,709 |
| External links |
  Try with proxy. |
| Through your library | Only published papers are available at libraries |
Similar books and articlesPeter Spirtes (2005). Graphical Models, Causal Inference, and Econometric Models. Journal of Economic Methodology 12 (1):3-34.
J. C. E. Dekker (1981). Twilight Graphs. Journal of Symbolic Logic 46 (3):539-571.
Harold Schellinx (1991). Isomorphisms and Nonisomorphisms of Graph Models. Journal of Symbolic Logic 56 (1):227-249.
Rainer Kerth (1998). Isomorphism and Equational Equivalence of Continuous Λ-Models. Studia Logica 61 (3):403-415.
Analytics
Monthly downloads |
Added to index2010-12-22Total downloads5 ( #160,518 of 550,047 )Recent downloads (6 months)1 ( #63,425 of 550,047 )How can I increase my downloads? |
My notes
Discussion
