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Cell-wise robust covariance estimation for compositions, with application to geochemical data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F23%3A73621519" target="_blank" >RIV/61989592:15310/23:73621519 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0375674223001462" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0375674223001462</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.gexplo.2023.107299" target="_blank" >10.1016/j.gexplo.2023.107299</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cell-wise robust covariance estimation for compositions, with application to geochemical data

  • Original language description

    Cell-wise outliers are outliers in single entries of a compositional data matrix, and they can lead to a certain bias in the statistical analysis. Traditional row-wise robust methods downweight outlying observations for the estimation, independent of how many or which cells of an observation are contaminated. Cell-wise robustness still makes use of the information contained in non-contaminated cells. Here, cell-wise robustness is used for the estimation of the variation and the covariance matrix. For higher dimensional data also a regularized estimator is introduced. The advantages of the cell-wise robust estimators are demonstrated in simulation experiments and in a geochemistry application in the context of clustering and principal component analysis.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GF22-15684L" target="_blank" >GF22-15684L: Generalized relative data and robustness in Bayes spaces</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    JOURNAL OF GEOCHEMICAL EXPLORATION

  • ISSN

    0375-6742

  • e-ISSN

    1879-1689

  • Volume of the periodical

    253

  • Issue of the periodical within the volume

    OCT

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

    "107299-1"-"107299-11"

  • UT code for WoS article

    001076549100001

  • EID of the result in the Scopus database

    2-s2.0-85169070370