Abstract
We point out a certain class of functions f and g for which random variables f( X 1, …, X m ) and g( X m + 1 , …, X k ) are non-negatively correlated for any symmetric jointly stable random variables X i . We also show another result that is related to the correlation problem for Gaussian measures of symmetric convex sets.
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