成分趋势滤波

Applied Medical Informaticvs Pub Date : 2021-01-01 DOI:10.33039/AMI.2021.02.004

Christopher Rieser, P. Filzmoser

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引用次数: 0

摘要

趋势滤波是一种在单变量时间序列中检测分段线性趋势的技术。该技术扩展到组合数据的设置，组合数据是多元数据，其中只有相对信息是重要的。在此基础上提出了该问题，并给出了有效解决该问题的程序。为了证明这种方法的有效性，我们考虑了在选定的时间段内几个欧洲国家的COVID-19感染人数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Compositional trend filtering

Trend filtering is known as the technique for detecting piecewise linear trends in univariate time series. This technique is extended to the setting of compositional data, which are multivariate data where only the relative information is of importance. According to this, we formulate the problem and present a procedure how to efficiently solve it. To show the usefulness of this method, we consider the number of COVID-19 infections in several European countries in a chosen time period.

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Applied Medical Informaticvs

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