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Dynamic Diffusion Estimation in Exponential Family Models
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SYSNO ASEP 0396518 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Dynamic Diffusion Estimation in Exponential Family Models Author(s) Dedecius, Kamil (UTIA-B) RID, ORCID
Sečkárová, Vladimíra (UTIA-B) RIDNumber of authors 2 Source Title IEEE Signal Processing Letters. - : Institute of Electrical and Electronics Engineers - ISSN 1070-9908
Roč. 20, č. 11 (2013), s. 1114-1117Number of pages 4 s. Publication form Online - E Language eng - English Country US - United States Keywords diffusion estimation ; distributed estimation ; paremeter estimation Subject RIV BB - Applied Statistics, Operational Research R&D Projects 7D12004 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA13-13502S GA ČR - Czech Science Foundation (CSF) UT WOS 000324939100003 EID SCOPUS 84884761747 DOI 10.1109/LSP.2013.2282042 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2014
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