Hey guys, first time taking a time series class, need some help!
Let {} be an IID sequence with mean 0 and variance
. (I think this is White Noise)
Let {} be a stationary sequence with a covariance function
. Then it says assume
and
are independent of each other.
Define.
Verify that for k ≥ 1 we have Cov(,
) = 0 and Cov(
,
) ≠ 0, that is {
} is a white noise but not IID.
So Im not sure how to define? Its the product of white noise (
) and some stationary sequence (
)?
Any help would be appreciated.


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