Depth for Vector-Valued Functions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10159444" target="_blank" >RIV/00216208:11320/13:10159444 - isvavai.cz</a>

Result on the web

<a href="http://www.mff.cuni.cz/veda/konference/wds/proc/pdf13/WDS13_114_m4_Nagy.pdf" target="_blank" >http://www.mff.cuni.cz/veda/konference/wds/proc/pdf13/WDS13_114_m4_Nagy.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Depth for Vector-Valued Functions

Original language description

Data depth is a nonparametric statistical tool applicable to multi-dimensional observations. In the contribution a depth suitable for vector-valued functional (infi nite-dimensional) data of one variable is advanced. Its connections to the established depth functionals for univariate response are explored. It is shown that a number of theoretical results not considered in the literature before may be obtained by a proper application of this generalization technique.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

WDS'13 Proceedings of Contributed Papers: Part I - Mathematics and Computer Sciences

ISBN

978-80-7378-250-4

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

85-90

Publisher name

Matfyzpress

Place of publication

Praha

Event location

Praha

Event date

Jun 4, 2013

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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