Generalisierte relative Daten und Robustheit in Bayes Räumen

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Primary Data

Project Acronym Projekt Kurzbezeichnung
CSTAT: Bayes
 
Project Title (de) Projekttitel (de)
Generalisierte relative Daten und Robustheit in Bayes Räumen
 
Project Title (en) Projekttitel (en)
Generaliyed relative data and robustness in Bazes spaces
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
FWF - Österr. Wissenschaftsfonds
Grant number Förderkennnummer
I 5799-N
 

Publications

Results 1-5 of 5 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Nesrstova-2023-Journal of Chemometrics-vor.pdf.jpgNesrstová, V. ; Wilms, Ines ; Palarea‐Albaladejo, J. ; Filzmoser, Peter ; Martín‐Fernández, J. A. ; Friedecký, David ; Hron, K. Principal balances of compositional data for regression and classification using partial least squaresArticle Artikel Dec-2023
2Rieser-2023-Journal of Geochemical Exploration-vor.pdf.jpgRieser, Christopher ; Fačevicová, Kamila ; Filzmoser, Peter Cell-wise robust covariance estimation for compositions, with application to geochemical dataArticle Artikel Oct-2023
3Oguamalam, Jeremy ; Radojicic, Una ; Filzmoser, Peter Functional Outlier Detection based on the Minimum Regularized Covariance Trace EstimatorInproceedings Konferenzbeitrag5-Jul-2023
4Oguamalam, Jeremy ; Radojicic, Una ; Filzmoser, Peter Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional DataInproceedings Konferenzbeitrag12-Jun-2023
5Archimbaud, Aurore ; Drmac, Zlatko ; Nordhausen, Klaus ; Radojičić, Una ; Ruiz-Gazen, Anne Numerical Considerations and a new implementation for invariant coordinate selectionArticle Artikel 2023