Discussion of 'multivariate functional outlier detection'

Narisetty Naveen Naidu; He Xuming

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Discussion of 'multivariate functional outlier detection'

机译：讨论“多元函数离群值检测”

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In our comments we provide two possible modifications of the "centrality-stability plot (CSP)" proposed by Hubert, Rousseeuw and Segaert, which may, in some cases, make the plot more informative in flagging functional outliers.

机译：在我们的评论中，我们对Hubert，Rousseeuw和Segaert提出的“中心稳定性图（CSP）”进行了两种可能的修改，这在某些情况下可以使该图在标记功能异常值时更具参考价值。

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来源
《Statistical Methods and Applications》 |2015年第2期|209-215|共7页
作者
Narisetty Naveen Naidu; He Xuming;
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作者单位

Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA;

Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Data depth; Functional data; Outliers;

机译：数据深度;功能数据;离群值;

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1. Discussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert [J] . Ieva Francesca, Paganoni Anna Maria Statistical Methods and Applications . 2015,第2期

机译：M. Hubert，P。Rousseeuw和P. Segaert对“多元函数离群值检测”的讨论
2. Discussion of "Multivariate Functional Outlier Detection", by Mia Hubert, Peter Rousseeuw and Pieter Segaert [J] . Paindaveine Davy, Van Bever Germain Statistical Methods and Applications . 2015,第2期

机译：Mia Hubert，Peter Rousseeuw和Pieter Segaert对“多元功能离群值检测”的讨论
3. Discussion of "Multivariate functional outlier detection" by Mia Hubert, Peter Rousseeuw and Pieter Segaert [J] . Yan Yuan, Genton Marc G. Statistical Methods and Applications . 2015,第2期

机译：Mia Hubert，Peter Rousseeuw和Pieter Segaert对“多元函数离群值检测”的讨论
4. Differentially Private Outlier Detection in Multivariate Gaussian Signals [C] . Kwassi H. Degue, Karthik Gopalakrishnan, Max Z. Li, Annual American Control Conference . 2021

机译：多变量高斯信号中的差异私有异常检测
5. Multivariate Data Modeling and its Applications to Conditional Outlier Detection [D] . Hong, Charmgil. 2017

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6. The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project [O] . Kelly M. Sunderland, Derek Beaton, Julia Fraser, 2019

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7. Multivariate Functional Data Visualization and Outlier Detection [O] . Dai Wenlin, Genton Marc G. 2017

机译：多元功能数据可视化和异常值检测
8. Fraud detection in medicare claims: A multivariate outlier detection approach [R] . Burr, T, Hale, C, Kantor, M 1997

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Discussion of 'multivariate functional outlier detection'

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