在概率密度估计中消除用户交互

K. Barbé, Lee Gonzales Fuentes, L. Barford, W. Moer
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引用次数: 3

摘要

尽管有大量的文献,描述测量的概率内容仍然是工程问题的一个重要课题。直方图仍然是黄金标准,即使当需要平滑估计时,核密度估计是一个强有力的竞争对手。直方图和核密度的使用都需要关键的用户交互。在这两种情况下,良好的带宽选择都是必不可少的。最重要的是,核密度方法需要正确选择核。不正确的选择可能会导致不正确的结果,要么掩盖重要的细节,要么引入错误的细节。在本文中,我们提出了一种不需要用户自定义选择的新方法。因此,该方法是全自动的,并为用户提供了概率内容的平滑密度估计。
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Eliminating user-interaction in probability density estimation
Despite the extensive literature, describing the probability content of measurements remains an important topic for engineering problems. The histogram remains the golden standard, even though kernel density estimation is a strong competitor when smooth estimates are desired. Critical user interaction is required for the use of both the histograms and kernel densities. A good choice for the bandwidth is essential in both cases. On top of that the kernel density method requires a proper choice of the kernel. Incorrect choices may lead to incorrect results generated by either masking important details or introducing false details. In this paper, we propose a new approach which requires no user-defined choices. The method is therefore fully automatic and provides the user a smooth density estimate of the probability content.
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