Record link: 
http://hdl.handle.net/20.500.12708/192144
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Title: 
Bayesian Multiple Graphical Models for Heterogenous Data
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Citation: 
Avalos Pacheco, A. (2023, September 7). Bayesian Multiple Graphical Models for Heterogenous Data [Conference Presentation]. XXII Congresso dell’Unione Matematica Italiana 2023, Pisa, Italy.
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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): 
7-Sep-2023
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Event name: 
XXII Congresso dell’Unione Matematica Italiana 2023 
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Event date: 
4-Sep-2023 - 9-Sep-2023
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Event place: 
Pisa, Italy
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Keywords: 
factor models; high-dimensional inference; applied Bayesian statistical modelling
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Link (external): 
https://umi.dm.unibo.it/congresso2023/
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Research Areas: 
Mathematical and Algorithmic Foundations: 40%
Computer Science Foundations: 20%
Modeling and Simulation: 40%
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Science Branch: 
3019 - Sonstige Medizinisch-theoretische Wissenschaften: 20%
1020 - Informatik: 10%
1010 - Mathematik: 70%
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