Folks, I need to compute some cross-correlations between time series, and I naturally started to use numpy.correlate. Howver, I'm not sure about the convention being used: The crosscorrelation is usually defined as $\gamma_{xy}[k] = \sum_{i}{x[i] y[i+k]}$ So, when I compute

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numpy.dot(x[:-1],y[1:])

on two 1D series of same size $n$, I should have $\gamma[1]$. With numpy.correlate, I have to use

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numpy.correlate(x,y,'full')[(n-1)-1]

or reverse x and y to get $\gamma[1]$ Is that correct ? P.