一组随机变量最大值计算的进展

D. Sinha, H. Zhou, Narendra V. Shenoy
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引用次数: 25

摘要

本文量化了C. E. Clark(1961)中提出的计算高斯随机变量最大值(max)的Clark方法中的近似误差;统计计时中的一种基本操作。我们展示了一个有限查找表可以用来存储这些错误。在误差计算的基础上,提出了对一组高斯函数进行成对最大运算的不同排序方法。实验表明,与传统方法相比,该方法计算多个高斯函数最大值的精度提高了50%。据我们所知,这是针对上述问题的第一次工作
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in computation of the maximum of a set of random variables
This paper quantifies the approximation error in Clark's approach presented in C. E. Clark (1961) to computing the maximum (max) of Gaussian random variables; a fundamental operation in statistical timing. We show that a finite look up table can be used to store these errors. Based on the error computations, approaches to different orderings for pair-wise max operations on a set of Gaussians are proposed. Experiments show accuracy improvements in the computation of the max of multiple Gaussians by up to 50% in comparison to the traditional approach. To the best of our knowledge, this is the first work addressing the mentioned issues
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