Record link: 
http://hdl.handle.net/20.500.12708/225012
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Title: 
Robust multi-group Gaussian Mixture Modelling in the presence of cellwise outliers
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Citation: 
Puchhammer, P. (2025, November 16). Robust multi-group Gaussian Mixture Modelling in the presence of cellwise outliers [Conference Presentation]. 2025 IMS International Conference on Statistics and Data Science (ICSDS), Sevilla, Spain. http://hdl.handle.net/20.500.12708/225012
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Puchhammer, Patricia 
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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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Date (published): 
16-Nov-2025
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Event name: 
2025 IMS International Conference on Statistics and Data Science (ICSDS) 
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Event date: 
15-Dec-2025 - 18-Dec-2025
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Event place: 
Sevilla, Spain
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Keywords: 
Multi-Group/Multi-Source Data; Gaussian Mixture Models; Cellwise Outliers
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Research Areas: 
Mathematical Methods in Economics: 100%
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Science Branch: 
1020 - Informatik: 10%
5020 - Wirtschaftswissenschaften: 20%
1010 - Mathematik: 70%
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