Implicitly weighted multivariate methods for high-dimensional data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10048545" target="_blank" >RIV/00216208:11320/10:10048545 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Implicitly weighted multivariate methods for high-dimensional data
Original language description
This work deals with a robustification of classification analysis for data with a high dimension. We combine a robust principal component analysis and robust classification. This method inherits the idea of down-weighting less reliable data points from the least weighted squares regression.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA402%2F09%2F0557" target="_blank" >GA402/09/0557: Robustification of selected econometric methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mezinárodní statisticko-ekonomické dny na VŠE v Praze. Sborník příspěvků.
ISBN
978-80-86175-69-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
Vysoká škola ekonomická v Praze
Place of publication
Praha
Event location
Praha
Event date
Sep 9, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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