TY - GEN
T1 - A minimal approach to causal inference on topologies with bounded indegree
AU - Quinn, Christopher
AU - Kiyavash, Negar
AU - Coleman, Todd
PY - 2011
Y1 - 2011
N2 - The structure of the causal interdependencies between processes in a causal, stochastic dynamical system can be succinctly characterized by a generative model. Inferring the structure of the generative model, however, requires calculating divergences using the full joint statistics. For the case when an upperbound on the indegree of each process is known, we describe a computationally efficient method using directed information which does not require the full statistics and recovers the parents of each process independently from finding the parents of other processes.
AB - The structure of the causal interdependencies between processes in a causal, stochastic dynamical system can be succinctly characterized by a generative model. Inferring the structure of the generative model, however, requires calculating divergences using the full joint statistics. For the case when an upperbound on the indegree of each process is known, we describe a computationally efficient method using directed information which does not require the full statistics and recovers the parents of each process independently from finding the parents of other processes.
UR - http://www.scopus.com/inward/record.url?scp=84860671976&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860671976&partnerID=8YFLogxK
U2 - 10.1109/CDC.2011.6161255
DO - 10.1109/CDC.2011.6161255
M3 - Conference contribution
AN - SCOPUS:84860671976
SN - 9781612848006
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 168
EP - 173
BT - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Y2 - 12 December 2011 through 15 December 2011
ER -