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Activity Number:
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220
- Robust Multivariate and High-Dimensional Analysis Using Functional Data Ranking
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #324636
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Title:
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High-Dimensional Functional Data
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Author(s):
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Juan Romo* and Ana Arribas-Gil
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Companies:
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Universidad Carlos III de Madrid and Universidad Carlos III de Madrid
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Keywords:
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Functional data ;
High-dimensional ;
Depth
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Abstract:
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Functional data are currently a common output of many processes. Functional data analysis refers not only to one-dimensional functional observations, but also to multivariate samples of curves or even to high-dimensional functional data sets. Robust analysis of functional data can be based on the concept of depth, that allows us to establish the notion of centrality and extremality and provides fundamentals for testing or classification. We analyze depth for high-dimensional functional data and apply these ideas to simulated high-dimensional functional samples and to real high-dimensional functional observations.
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Authors who are presenting talks have a * after their name.
