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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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