@article{ Chen_etal06,
  author = {Chen, Y. and Bressler, S.L. and Ding, M.},
  title = {{{F}requency decomposition of conditional {G}ranger causality and
	application to multivariate neural field potential data}},
  journal = {J. Neurosci. Methods},
  year = {2006},
  volume = {150},
  pages = {228--237},
  month = {Jan},
  abstract = {It is often useful in multivariate time series analysis to determine
	statistical causal relations between different time series. Granger
	causality is a fundamental measure for this purpose. Yet the traditional
	pairwise approach to Granger causality analysis may not clearly distinguish
	between direct causal influences from one time series to another
	and indirect ones acting through a third time series. In order to
	differentiate direct from indirect Granger causality, a conditional
	Granger causality measure in the frequency domain is derived based
	on a partition matrix technique. Simulations and an application to
	neural field potential time series are demonstrated to validate the
	method.}
}

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