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Record link:
http://hdl.handle.net/20.500.12708/192143
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Title:
Bayesian Inference of Multiple Ising Models for Heterogeneous Data
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Citation:
Avalos Pacheco, A. (2023, August 2).
Bayesian Inference of Multiple Ising Models for Heterogeneous Data
[Conference Presentation]. 6th International Conference on Econometrics and Statistics, EcoSta 2023, Tokyo, Japan.
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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):
2-Aug-2023
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Event name:
6th International Conference on Econometrics and Statistics, EcoSta 2023
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Event date:
1-Aug-2023 - 3-Aug-2023
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Event place:
Tokyo, Japan
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Keywords:
factor models; high-dimensional inference; applied Bayesian statistical modelling
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Link (external):
https://www.cmstatistics.org/EcoSta2023/index.php
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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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Appears in Collections:
Presentation
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