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Sharp Concentration Results for Heavy-Tailed Distributions. (arXiv:2003.13819v3 [math.PR] UPDATED)
July 27, 2022, 1:11 a.m. | Milad Bakhshizadeh, Arian Maleki, Victor H. de la Pena
stat.ML updates on arXiv.org arxiv.org
We obtain concentration and large deviation for the sums of independent and
identically distributed random variables with heavy-tailed distributions. Our
concentration results are concerned with random variables whose distributions
satisfy $\mathbb{P}(X>t) \leq {\rm e}^{- I(t)}$, where $I: \mathbb{R}
\rightarrow \mathbb{R}$ is an increasing function and $I(t)/t \rightarrow
\alpha \in [0, \infty)$ as $t \rightarrow \infty$. Our main theorem can not
only recover some of the existing results, such as the concentration of the sum
of subWeibull random variables, but it …
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