Improved Hoeffding inequality for dependent bounded or sub-Gaussian random variables

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Y. Tanoue
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引用次数: 2

Abstract

When addressing various financial problems, such as estimating stock portfolio risk, it is necessary to derive the distribution of the sum of the dependent random variables. Although deriving this distribution requires identifying the joint distribution of these random variables, exact estimation of the joint distribution of dependent random variables is difficult. Therefore, in recent years, studies have been conducted on the bound of the sum of dependent random variables with dependence uncertainty. In this study, we obtain an improved Hoeffding inequality for dependent bounded variables. Further, we expand the above result to the case of sub-Gaussian random variables.
依赖有界或亚高斯随机变量的改进Hoeffding不等式
在处理各种金融问题时,例如估计股票投资组合风险,有必要推导出相关随机变量和的分布。虽然导出这种分布需要识别这些随机变量的联合分布,但准确估计相关随机变量的联合分布是困难的。因此,近年来人们对具有相关不确定性的相关随机变量和的界进行了研究。在本研究中,我们得到了一个改进的有界变量的Hoeffding不等式。进一步,我们将上述结果推广到亚高斯随机变量的情况。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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