Robust Depth-Based Inference in Elliptical Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10435406" target="_blank" >RIV/00216208:11320/21:10435406 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-69944-4_14" target="_blank" >https://doi.org/10.1007/978-3-030-69944-4_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-69944-4_14" target="_blank" >10.1007/978-3-030-69944-4_14</a>

Result language
angličtina
Original language name
Robust Depth-Based Inference in Elliptical Models
Original language description
Elliptical models are the most important family of multivariate probability distributions. We explore the properties of these distributions with respect to their halfspace depth and their illumination. The densities of elliptically symmetric distributions are expressed only in terms of the depth, the illumination, and a univariate function that can be estimated from the data. These observations set the ground for robust and nonparametric inference for (nearly) elliptical models based on the use of depth and illumination.
Czech name
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Czech description
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Project
<a href="/en/project/GJ19-16097Y" target="_blank" >GJ19-16097Y: Geometric aspects of mathematical statistics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Studies in Classification, Data Analysis, and Knowledge Organization
ISBN
978-3-030-69943-7
ISSN
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e-ISSN
—
Number of pages
9
Pages from-to
129-137
Publisher name
Springer Science and Business Media
Place of publication
Německo
Event location
Cassino
Event date
Sep 11, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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