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arXiv 1708.08620math.PR
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最优输运的非渐近方差界和偏差不等式

Non-asymptotic variance bounds and deviation inequalities by optimal transport

Kevin Tanguy

摘要:

本说明的目的是说明如何简单的最优输运参数,在真正的线,可以用在超浓度理论。这种方法是有效的产生尖锐的非渐近方差界的各种泛函(最大值,中位数,$l^p$规范)的标准高斯随机向量在$\R^n$。这种方法的灵活性也可以提供指数偏差不等式反映前面的方差界。作为进一步的说明,通常的法律从极端理论和库仑气体进行了研究。

英文摘要:

The purpose of this note is to show how simple Optimal Transport arguments, on the real line, can be used in Superconcentration theory. This methodology is efficient to produce sharp non-asymptotic variance bounds for various functionals (maximum, median, $l^p$ norms) of standard Gaussian random vectors in $\R^n$. The flexibility of this approach can also provide exponential deviation inequalities reflecting preceding variance bounds. As a further illustration, usual laws from Extreme theory and Coulomb gases are studied.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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