Record link: 
http://hdl.handle.net/20.500.12708/210339
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Title: 
Sufficient Dimension Reduction in Regression and Classification: An overview and recent results for matrix-valued predictors
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Citation: 
Bura, E. (2024, October 17). Sufficient Dimension Reduction in Regression and Classification: An overview and recent results for matrix-valued predictors [Presentation]. Seminaria  Harmonic: analysis and orthogonal expansions, Poland.
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Publication Type: 
Presentation - Presentation
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Language: 
English
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Authors: 
Bura, Efstathia 
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Organisational Unit: 
E105-08 - Forschungsbereich Angewandte Statistik 
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Date (published): 
17-Oct-2024
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Event name: 
Seminaria Harmonic: analysis and orthogonal expansions 
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Event date: 
17-Oct-2024
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Event place: 
Poland
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Keywords: 
Sufficient Dimension Reduction; Regression/Classification Problem; Inverse Regression; Likelihood-based Methods; Non-likelihood-based Methods; Matrix-valued Predictors; Tensor-valued Predictors
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Research Areas: 
Fundamental Mathematics Research: 100%
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Science Branch: 
1010 - Mathematik: 100%
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