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Granger causality is becoming an important tool for determining causal relations between neurobiological time series. For multivariate data, there is often the need to examine causal relations between two blocks of time series, where each block could represent a brain region of interest. Two alternative methods are available. In the pairwise method, bivariate autoregressive models are fit to all pairwise combinations involving one time series from the first block and one from the second. Thedoi:10.1142/s0129065707000944 pmid:17565503 fatcat:sg2bu7kwejbxpfi6cbwntuz5yu