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If Co-variance (X, Y) = 0, does this necessarily mean that X and Y are independent?

I have read in previous posts that Co-variance equal to 0 implies that (1) X and Y are independent AND (2) X and Y could be independent, but are not necessarily so. These two interpretations, however, are obviously contradictory.

nycstats
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1 Answers1

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There was a Soviet paper in the 60's which formally introduced spherically invariant processes. If X(t) is such process, then

X(t) and X(s) are uncorrelated <=====> X(t) and X(s) are independent.

An example of spherically invariant process is multiplicative Gaussian mixture:

X(t) = A * Z(t),

where Z(t) is a Gaussian process and A is some random variable... Generally speaking, 0 correlation does not imply independence. Example:

Y = X * N(0,1),

where X and N(0,1) are independent. Notice that Corr[X,Y] = 0 but X and Y are codependent.

stans
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