Bootstrap在点过程统计中真的有用吗?
Is Bootstrap Really Helpful in Point Process Statistics?
摘要:
有一些论文描述了在点过程统计中使用自举技术。本文件的目的是表明,在其中使用的引导的形式是可疑的。在对相关函数估计量的方差估计的情况下,所使用的自举技术导致的结果,可以得到更简单,无需模拟,此外,他们从所需的结果不同。非齐次Poisson过程强度函数的置信区域的求取问题不需要Bootstrap技术就可以很容易地解决。
英文摘要:
There are some papers which describe the use of bootstrap techniques in point process statistics. The aim of the present paper is to show that the form in which bootstrap is used there is dubious. In case of variance estimation of pair correlation function estimators the used bootstrap techniques lead to results which can be obtained simpler without simulation; furthermore, they differ from the desired results. The problem to obtain confidence regions for the intensity function of inhomogeneous Poisson processes can be easily solved without bootstrap techniques.
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。