Record link: 
http://hdl.handle.net/20.500.12708/220196
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Title: 
Robust And Interpretable Matrix-Variate Data Analysis
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Citation: 
Mayrhofer, M., Radojičić, U., & Filzmoser, P. (2025). Robust And Interpretable Matrix-Variate Data Analysis. In CLADAG - VOC 2025 : 15th Scientific Meeting of the Classification and Data Analysis Group 1st International Scientific Joint Meeting of the Italian and Dutch/Flemish Classification Societies : BOOK OF ABSTRACTS (pp. 129–129).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Mayrhofer, Marcus 
Radojičić, Una 
Filzmoser, Peter 
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Organisational Unit: 
E105-06 - Forschungsbereich Computational Statistics 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Published in: 
CLADAG - VOC 2025 : 15th Scientific Meeting of the Classification and Data Analysis Group 1st International Scientific Joint Meeting of the Italian and Dutch/Flemish Classification Societies : BOOK OF ABSTRACTS 
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Date (published): 
2025
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Event name: 
CLADAG - VOC 2025 
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Event date: 
8-Sep-2025 - 10-Sep-2025
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Event place: 
Neapel, Italy
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Number of Pages: 
1
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Keywords: 
Robust statistics; Covariance estimation; Matrix-valued data; Interpretability
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Additional information: 
https://cladag2025.unina.it/
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Research Areas: 
Fundamental Mathematics Research: 100%
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Science Branch: 
1020 - Informatik: 10%
5020 - Wirtschaftswissenschaften: 20%
1010 - Mathematik: 70%
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Appears in Collections:
Conference Paper

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