Record link: 
http://hdl.handle.net/20.500.12708/192640
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Title: 
Combining New Dimension Reduction Tools for High-Dimensional Regression
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Citation: 
Parzer, R., Vana Gür, L., & Filzmoser, P. (2023). Combining New Dimension Reduction Tools for High-Dimensional Regression. In DSSV 2023 : Book of Abstracts (pp. 103–103).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Parzer, Roman 
Vana Gür, Laura 
Filzmoser, Peter 
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Organisational Unit: 
E105-06 - Forschungsbereich Computational Statistics 
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Published in: 
DSSV 2023 : Book of Abstracts 
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Date (published): 
5-Jul-2023
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Event name: 
Joint conference of Data Science, Statistics & Visualisation and the European Conference on Data Analysis (DSSV-ECDA 2023) 
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Event date: 
5-Jul-2023 - 7-Jul-2023
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Event place: 
Antwerpen, Belgium
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Number of Pages: 
1
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Keywords: 
High-dimensional regression; Screening; Random Projection
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Project title: 
Hochdimensionales statistisches Lernen: Neue Methoden zur Förderung der Wirtschafts- und Nachhaltigkeitspolitik: ZK 35-G (FWF - Österr. Wissenschaftsfonds) 
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Research Areas: 
Mathematical and Algorithmic Foundations: 50%
Modeling and Simulation: 10%
Fundamental Mathematics Research: 40%
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Science Branch: 
1010 - Mathematik: 100%
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Appears in Collections:
Conference Paper

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