Dynamic Diffusion Estimation in Exponential Family Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00396518" target="_blank" >RIV/67985556:_____/13:00396518 - isvavai.cz</a>

Alternative codes found

RIV/48361143:_____/13:#0000020

Result on the web

<a href="http://dx.doi.org/10.1109/LSP.2013.2282042" target="_blank" >http://dx.doi.org/10.1109/LSP.2013.2282042</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/LSP.2013.2282042" target="_blank" >10.1109/LSP.2013.2282042</a>

Result language

angličtina

Original language name

Dynamic Diffusion Estimation in Exponential Family Models

Original language description

This letter proposes a new dynamic diffusion estimation method for a collaborative inference of a common model parameter using a distributed network of cooperating nodes. Unlike the existing single problem-oriented diffusion methods, it is formulated abstractly for the exponential family of models. The resulting advantage - its easy and straightforward application to the family members - is demonstrated on three selected cases.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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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)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Signal Processing Letters

ISSN

1070-9908

e-ISSN

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Volume of the periodical

20

Issue of the periodical within the volume

11

Country of publishing house

US - UNITED STATES

Number of pages

4

Pages from-to

1114-1117

UT code for WoS article

000324939100003

EID of the result in the Scopus database

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