cov.structure: Estimate the covariance structure within a given window \(k \in [-q,q]\)
Description
Given two multivariate time series \(X_t\) and \(Y_t\)
estimates the covariances of \(Cov(X_{k} Y_0)\) for \(k \in [-q,q]\).
lagged.cov is used for the estimation at each lag.
Usage
cov.structure(X, Y = NULL, q = 10)
Arguments
X
first process
Y
second process, if null then autocovariance of X is computed
q
size of the window (covariances from -q to q will be computed)