Conference paper
An Arabic Slot Grammar parser
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
Novel measures are proposed for mutual and causal dependence between two time series, based on information theoretical ideas. The measure of mutual dependence is shown to be the sum of the measure of unidirectional causal dependence from the first time series to the second, the measure of unidirectional causal dependence from the second to the first, and the measure of instantaneous causal dependence. The measures are applicable to any kind of time series: continuous, discrete, or categorical.
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
Charles H. Bennett, Aram W. Harrow, et al.
IEEE Trans. Inf. Theory
B.K. Boguraev, Mary S. Neff
HICSS 2000
Liat Ein-Dor, Y. Goldschmidt, et al.
IBM J. Res. Dev