TY - GEN
T1 - Identification of conditional interventional distributions
AU - Shpitser, Ilya
AU - Pearl, Judea
PY - 2006/12/1
Y1 - 2006/12/1
N2 - The subject of this paper is the elucidation of effects of actions from causal assumptions represented as a directed graph, and statistical knowledge given as a probability distribution. In particular, we are interested in predicting distributions on post-action outcomes given a set of measurements. We provide a necessary and sufficient graphical condition for the cases where such distributions can be uniquely computed from the available information, as well as an algorithm which performs this computation whenever the condition holds. Furthermore, we use our results to prove completeness of do-calculus [Pearl, 1995] for the same identification problem, and show applications to sequential decision making.
AB - The subject of this paper is the elucidation of effects of actions from causal assumptions represented as a directed graph, and statistical knowledge given as a probability distribution. In particular, we are interested in predicting distributions on post-action outcomes given a set of measurements. We provide a necessary and sufficient graphical condition for the cases where such distributions can be uniquely computed from the available information, as well as an algorithm which performs this computation whenever the condition holds. Furthermore, we use our results to prove completeness of do-calculus [Pearl, 1995] for the same identification problem, and show applications to sequential decision making.
UR - http://www.scopus.com/inward/record.url?scp=46149083633&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46149083633&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:46149083633
SN - 0974903922
SN - 9780974903927
T3 - Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006
SP - 437
EP - 444
BT - Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006
T2 - 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006
Y2 - 13 July 2006 through 16 July 2006
ER -