Cantelli's bounds for generalized tail inequalities in Euclidean spaces
Abstract
Let X be a centered random vector in a finite dimensional real inner product space E. For a subset C of the ambient vector space V of E and x,\,y∈ V, write xC y if y-x∈ C. When C is a closed convex cone in E, then C is a pre-order on V, whereas if C is a proper cone in E, then C is actually a partial order on V. In this paper we give sharp Cantelli's type inequalities for generalized tail probabilities like Pr\XC b\ for b∈ V. These inequalities are obtained by ``scalarizing'' XC b via cone duality and then by minimizing the classical univariate Cantelli's bound over the scalarized inequalities.
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