An overview of consistency results for depth functionals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10365498" target="_blank" >RIV/00216208:11320/17:10365498 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-55846-2_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-55846-2_25</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-55846-2_25" target="_blank" >10.1007/978-3-319-55846-2_25</a>

Result language

angličtina

Original language name

An overview of consistency results for depth functionals

Original language description

Data depth is a nonparametric tool which may serve as an extension of quantiles to general data. Any viable depth must posses the uniform strong consistency property of its sample version. In this overview, a concise summary of the available uniform consistency results for most of the depths for functional data is given. Extensions of this theory towards random surfaces, imperfectly observed, and discontinuous functional data are studied.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

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

Article name in the collection

Functional Statistics and Related Fields

ISBN

978-3-319-55845-5

ISSN

1431-1968

e-ISSN

neuvedeno

Number of pages

8

Pages from-to

189-196

Publisher name

Springer International Publishing AG

Place of publication

Neuveden

Event location

A Coruña, Španělsko

Event date

Jun 12, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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