Several important multivariate probability inequalities can be formulated in terms of multivariate convolutions of the form ∫ $f_{1}(x)f_{2}(x-\theta )dx$, where ...
Journal of Applied Probability, Vol. 26, No. 1 (Mar., 1989), pp. 58-66 (9 pages) A distribution F of a non-negative random variable belongs to the subexponential family of distributions S if 1 - ...
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