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A new method for computing the projection median, its influence curve and techniques for the production of projected quantile plots

机译:一种用于计算投影中值的新方法,其影响曲线和预计分位数的生产曲线和技术

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This article introduces a new formulation of, and method of computation for, the projection median. Additionally, we explore its behaviour on a specific bivariate set up, providing the first theoretical result on form of the influence curve for the projection median, accompanied by numerical simulations. Via new simulations we comprehensively compare our performance with an established method for computing the projection median, as well as other existing multivariate medians. We focus on answering questions about accuracy and computational speed, whilst taking into account the underlying dimensionality. Such considerations are vitally important in situations where the data set is large, or where the operations have to be repeated many times and some well-known techniques are extremely computationally expensive. We briefly describe our associated R package that includes our new methods and novel functionality to produce animated multidimensional projection quantile plots, and also exhibit its use on some high-dimensional data examples.
机译:本文介绍了投影中位数的新配方和计算方法。此外,我们探讨其在特定的双变量设置上的行为,为投影中值的影响曲线的形式提供了第一理论结果,伴随着数值模拟。通过新的模拟,我们将我们的性能全面比较,以确定投影中位数以及其他现有多元中位数的方法。我们专注于回答关于准确性和计算速度的问题,同时考虑到潜在的维度。这种考虑在数据集很大的情况下,或者在必须多次重复操作的情况下以及一些众所周知的技术非常昂贵的情况下非常重要。我们简要介绍了我们的相关R包,其中包括我们的新方法和新颖的功能,以产生动画的多维投影量子系列,并且还在一些高维数据示例上展示它。

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