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arXiv math/0312132math.PRmath.CAmath.STstat.TH
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渐近集上积分的逼近及其在概率统计中的应用

Approximation of integrals over asymptotic sets with applications to probability and statistics

Philippe Barbe

摘要:

在这本专著中,我们证明了一个渐近逼近的概率密度积分集在有限维欧几里得空间,这是远离原点(渐近集)。我们使用这种近似来研究随机向量的二次型的尾部,随机线性型的上确界等。应用于研究有限大小随机矩阵,自回归过程的有限样本统计,以及一些随机过程的上确界。

英文摘要:

In this monograph, we prove an asymptotic approximation for integrals of probability densities over sets in finite dimensional euclidean space, which are far away from the origin (asymptotic sets). We use this approximation to investigate tails of quadratic forms of random vectors, supremum of random linear forms among others. Applications to the study of finite size random matrices, finite sample statistics of autoregressive processes, and supremum of some stochastic processes.

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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