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ON FINITE RANGE STABLE-TYPE CONCENTRATION

机译:有限范围内稳定型浓度

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We first study the deviation probability where is a Lipschitz (for the Euclidean norm) function defined on Rd and X is an a-stable random vector ofindex a 6 (1,2) We show that this probability is upper bounded by either according to x taking small values or being in a finite range interval. We generalize these finite range concentration inequalities to where F is a stochastic functional on the Poisson space equipped with a stable Levy measure of index a e (0, 2) and where m{F) is a median of F.
机译:我们首先研究偏差概率,其中在Rd上定义的Lipschitz(针对欧几里得范数)函数和X是索引为a 6(1,2)的a稳定随机向量。取小的值或在有限的范围内。我们将这些有限范围的浓度不等式推广到其中F是泊松空间上的随机函数,配备了稳定的Levy指标a e(0,2)的Levy度量,其中m {F)是F的中位数。

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