**Alexander Koldobsky and Stephen Montgomery-Smith, Inequalities of correlation type for symmetric stable random vectors.**
*Stat. and Probab. Letters, ***28**, (1996), 485-490.
We point out a certain class of functions \(f\) and \(g\) for which random variables \(f(X_1,\dots,X_m)\) and \(g(X_{m+1},\dots,X_k)\) are non-negatively correlated for any symmetric jointly stable random variables \(Xi\). We also show another result that is related to the correlation problem for Gaussian measures of symmetric convex sets.
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