Record link: 
http://hdl.handle.net/20.500.12708/205236
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Title: 
Robust covariance estimation for matrix-valued data
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Citation: 
Mayrhofer, M., Radojicic, U., & Filzmoser, P. (2024, August 13). Robust covariance estimation for matrix-valued data [Conference Presentation]. Bernoulli-ims 11th World Congress in Probability and Statistics, Bochum, Germany.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Mayrhofer, Marcus 
Radojicic, Una 
Filzmoser, Peter 
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Organisational Unit: 
E105-06 - Forschungsbereich Computational Statistics 
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Date (published): 
13-Aug-2024
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Event name: 
Bernoulli-ims 11th World Congress in Probability and Statistics 
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Event date: 
12-Aug-2024 - 16-Aug-2024
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Event place: 
Bochum, Germany
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Keywords: 
Robustness; Matrix-valued data; Explainability
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Project title: 
Automotive Intelligence for/at Connected Shared Mobility: 101007326-2 - AI4CSM (European Commission) 
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Research Areas: 
Fundamental Mathematics Research: 100%
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Science Branch: 
1010 - Mathematik: 100%
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