<div class="csl-bib-body">
<div class="csl-entry">Avalos Pacheco, A. (2023, August 2). <i>Bayesian Inference of Multiple Ising Models for Heterogeneous Data</i> [Conference Presentation]. 6th International Conference on Econometrics and Statistics, EcoSta 2023, Tokyo, Japan.</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/192143
-
dc.language.iso
en
-
dc.subject
factor models
en
dc.subject
high-dimensional inference
en
dc.subject
applied Bayesian statistical modelling
en
dc.title
Bayesian Inference of Multiple Ising Models for Heterogeneous Data
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Conference Presentation
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tuw.publication.invited
invited
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tuw.researchTopic.id
C4
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tuw.researchTopic.id
C5
-
tuw.researchTopic.id
C6
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tuw.researchTopic.name
Mathematical and Algorithmic Foundations
-
tuw.researchTopic.name
Computer Science Foundations
-
tuw.researchTopic.name
Modeling and Simulation
-
tuw.researchTopic.value
40
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tuw.researchTopic.value
20
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tuw.researchTopic.value
40
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tuw.linking
https://www.cmstatistics.org/EcoSta2023/index.php
-
tuw.publication.orgunit
E105-08 - Forschungsbereich Angewandte Statistik
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tuw.event.name
6th International Conference on Econometrics and Statistics, EcoSta 2023
en
tuw.event.startdate
01-08-2023
-
tuw.event.enddate
03-08-2023
-
tuw.event.online
Hybrid
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Tokyo
-
tuw.event.country
JP
-
tuw.event.institution
Waseda University
-
tuw.event.presenter
Avalos Pacheco, Alejandra
-
tuw.presentation.online
Online
-
wb.sciencebranch
Sonstige Medizinisch-theoretische Wissenschaften
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
3019
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
20
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wb.sciencebranch.value
10
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wb.sciencebranch.value
70
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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item.languageiso639-1
en
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item.openairetype
conference paper not in proceedings
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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crisitem.author.dept
E105-08 - Forschungsbereich Angewandte Statistik
-
crisitem.author.parentorg
E105 - Institut für Stochastik und Wirtschaftsmathematik
