低概率建模的理论和实验结果

A. Orlitsky, N. Santhanam, K. Viswanathan, Junan Zhang
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引用次数: 1

摘要

在[1],[5]的基础上,我们使用高调分布对数据的概率分布进行建模。结果表明,高轮廓分布以经验频率分布为主,高轮廓分布的支持可以是混合的,即既有离散分量又有连续分量,并得到了某些剖面的高轮廓分布。然后,我们通过实验将高轮廓分布与统计文献中研究的物种估计问题的某些估计量进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theoretical and Experimental Results on Modeling Low Probabilities
Building on [1], [5], we model probability distributions from data using the high profile distribution. We show that the high profile distribution is majorized by the empirical frequency distribution, that the support of high profile distributions can be mixed, namely the distribution can have both discrete and continuous components, and obtain the high profile distribution for certain profiles. We then experimentally compare the high profile distribution with certain estimators that have been studied in statistics literature for the species estimation problem.
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