Record link: 
http://hdl.handle.net/20.500.12708/152729
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Title: 
Multi-study Factor Regression Models for Heterogenous Data: Applications to Nutritional Epidemiology and Cancer Genomics
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Citation: 
Avalos Pacheco, A. (2022, December 18). Multi-study Factor Regression Models for Heterogenous Data: Applications to Nutritional Epidemiology and Cancer Genomics [Conference Presentation]. 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022), London, United Kingdom of Great Britain and Northern Ireland (the).
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Avalos Pacheco, Alejandra 
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Organisational Unit: 
E105-08 - Forschungsbereich Angewandte Statistik 
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Date (published): 
18-Dec-2022
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Event name: 
15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022) 
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Event date: 
18-Dec-2022
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Event place: 
London, United Kingdom of Great Britain and Northern Ireland (the)
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Keywords: 
factor models; high-dimensional inference; applied Bayesian statistical modelling; dimensionality reduction; heterogenous data integration
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Research Areas: 
Computer Science Foundations: 40%
Modeling and Simulation: 20%
Computational Materials Science: 40%
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Science Branch: 
3019 - Sonstige Medizinisch-theoretische Wissenschaften: 30%
1020 - Informatik: 30%
1010 - Mathematik: 40%
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