Given a parameter vector theta obtained using VARFIMA_est,
pre.White returns the pre-whitened sample.
pre.White(theta, data, q, approx = 100)estimated parameter vector.
data matrix with T observations of q-dimensional process.
dimension of the process.
order of the AR-approximation that is supposed to be used. Default is approx=100.
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Sibbertsen, P., Leschinski, C. H., Holzhausen, M., (2015): A Multivariate Test Against Spurious Long Memory. Hannover Economic Paper.