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Multivariate Functional Halfspace Depth
by
Vakili, Kaveh
, Claeskens, Gerda
, Slaets, Leen
, Hubert, Mia
in
Analytical estimating
/ Computational statistics
/ Curves
/ Data
/ Data analysis
/ Datasets
/ equations
/ Functional data
/ Information classification
/ Integrals
/ Mathematical functions
/ Multivariate analysis
/ Multivariate data
/ Outliers
/ Simulation
/ Statistical depth
/ Statistical median
/ Statistics
/ Theory and Methods
/ Time warping
/ Weighting functions
2014
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Multivariate Functional Halfspace Depth
by
Vakili, Kaveh
, Claeskens, Gerda
, Slaets, Leen
, Hubert, Mia
in
Analytical estimating
/ Computational statistics
/ Curves
/ Data
/ Data analysis
/ Datasets
/ equations
/ Functional data
/ Information classification
/ Integrals
/ Mathematical functions
/ Multivariate analysis
/ Multivariate data
/ Outliers
/ Simulation
/ Statistical depth
/ Statistical median
/ Statistics
/ Theory and Methods
/ Time warping
/ Weighting functions
2014
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Do you wish to request the book?
Multivariate Functional Halfspace Depth
by
Vakili, Kaveh
, Claeskens, Gerda
, Slaets, Leen
, Hubert, Mia
in
Analytical estimating
/ Computational statistics
/ Curves
/ Data
/ Data analysis
/ Datasets
/ equations
/ Functional data
/ Information classification
/ Integrals
/ Mathematical functions
/ Multivariate analysis
/ Multivariate data
/ Outliers
/ Simulation
/ Statistical depth
/ Statistical median
/ Statistics
/ Theory and Methods
/ Time warping
/ Weighting functions
2014
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Journal Article
Multivariate Functional Halfspace Depth
2014
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Overview
This article defines and studies a depth for multivariate functional data. By the multivariate nature and by including a weight function, it acknowledges important characteristics of functional data, namely differences in the amount of local amplitude, shape, and phase variation. We study both population and finite sample versions. The multivariate sample of curves may include warping functions, derivatives, and integrals of the original curves for a better overall representation of the functional data via the depth. We present a simulation study and data examples that confirm the good performance of this depth function. Supplementary materials for this article are available online.
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