Distributed estimation of mixture models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00445781" target="_blank" >RIV/67985556:_____/15:00445781 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16238-6_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16238-6_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16238-6_3" target="_blank" >10.1007/978-3-319-16238-6_3</a>
Alternative languages
Result language
angličtina
Original language name
Distributed estimation of mixture models
Original language description
The contribution deals with sequential distributed estimation of global parameters of normal mixture models, namely mixing probabilities and component means and covariances.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP14-06678P" target="_blank" >GP14-06678P: Distributed dynamic estimation in diffusion networks</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Bayesian statistics from methods to models and applications
ISBN
978-3-319-16237-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
27-36
Publisher name
Springer
Place of publication
Cham
Event location
Vienna
Event date
Sep 18, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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