arXiv · 1206.6841
Asymmetric separation for local independence graphs
Abstract
Directed possibly cyclic graphs have been proposed by Didelez (2000) and Nodelmann et al. (2002) in order to represent the dynamic dependencies among stochastic processes. These dependencies are based on a generalization of Granger-causality to continuous time, first developed by Schweder (1970) for Markov processes, who called them local dependencies. They deserve special attention as they are asymmetric unlike stochastic (in)dependence. In this paper we focus on their graphical representation and develop a suitable, i.e. asymmetric notion of separation, called delta-separation. The properties of this graph separation as well as of local independence are investigated in detail within a framework of asymmetric (semi)graphoids allowing a deeper insight into what information can be read off these graphs.
Explore related subjects
Keep this discovery
Vanessa Didelez. 2012-06-27. Asymmetric separation for local independence graphs. https://arxiv.org/abs/1206.6841
Cite the original work for its findings. Save a collection to share your selection of sources.