Factorized Estimation of Partially Shared Parameters in Diffusion Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00477044" target="_blank" >RIV/67985556:_____/17:00477044 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2017.2725226" target="_blank" >http://dx.doi.org/10.1109/TSP.2017.2725226</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2017.2725226" target="_blank" >10.1109/TSP.2017.2725226</a>
Alternative languages
Result language
angličtina
Original language name
Factorized Estimation of Partially Shared Parameters in Diffusion Networks
Original language description
Collaborative estimation of partially common parameters over ad hoc diffusion networks where the nodes directly communicate with their neighbors is a challenging task. The problem complexity is significantly high under the lack of knowledge which parameters are shared and among which network nodes. In this paper, we propose an adaptive framework suitable for this task. It is abstractly formulated in the Bayesian and information-theoretic paradigms and, therefore, versatile and easily applicable to a relatively wide class of models. If the observation models belong to the exponential family and the same functional types of prior probability distributions are used for estimation of the shared parameters, the method reduces to an analytically tractable variational algorithm extended by a procedure that passes messages among network nodes. A simulation example demonstrates that the collaboration improves estimation performance of both the shared and strictly local parameters, compared with the noncollaborative scenario.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Signal Processing
ISSN
1053-587X
e-ISSN
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Volume of the periodical
65
Issue of the periodical within the volume
19
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
5153-5163
UT code for WoS article
000407100700002
EID of the result in the Scopus database
2-s2.0-85023175924