Title
Discover Local Causal Network around a Target to a Given Depth
Abstract
For a given target node $T$ and a given depth $k \geq 1$, we propose an algorithm for discovering a local causal network around the target $T$ to depth $k$. In our algorithm, we find parents, children and some descendants (PCD) of nodes stepwise away from the target $T$ until all edges within the depth $k$ local network cannot be oriented further. Our algorithm extends the PCD-by-PCD algorithm for prediction with intervention presented in Yin et al. (2008). Our algorithm can construct a local network to depth $k$, has a more efficient stop rule and finds PCDs along some but not all paths starting from the target.
Year
Venue
DocType
2010
NIPS Causality: Objectives and Assessment
Journal
Volume
Citations 
PageRank 
6
1
0.36
References 
Authors
0
4
Name
Order
Citations
PageRank
You Zhou1213.79
Changzhang Wang251.55
Jianxin Yin3212.43
Zhi Geng45410.36