Comparison for upper tail probabilities of random series
Abstract
Let \n\ be a sequence of independent and identically distributed random variables. In this paper we study the comparison for two upper tail probabilities P\Σn=1∞an|n|p≥ r\ and P\Σn=1∞bn|n|p≥ r\ as r→∞ with two different real series \an\ and \bn\. The first result is for Gaussian random variables \n\, and in this case these two probabilities are equivalent after suitable scaling. The second result is for more general random variables, thus a weaker form of equivalence (namely, logarithmic level) is proved.
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