0396518 20240103203008.320131001235959.9 000324939100003 84884761747 10.1109/LSP.2013.2282042 4 s. E cav_un_epca*02532121070-99082011 (2013)1114-1117Institute of Electrical and Electronics Engineers diffusion estimation distributed estimation paremeter estimation cav_un_auth*0242543 Dedecius Kamil Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0263972 Sečkárová Vladimíra Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2013/AS/dedecius-0396518.pdf 7D12004 GA MŠk cav_un_auth*0291242 GA13-13502S GA ČR cav_un_auth*0292725 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. 2014 BB 2 4 A 4a 20231122135815.1 http://hdl.handle.net/11104/0224311 ENGINEERINGELECTRICALELECTRONIC 1.718 0.264 6.IV 0.01450 0.797 4223 295 0.785 ScienceCitationIndexExpanded Q1 66.128 64.718 Q2 Q2 2013 Soubory v repozitáři: dedecius-0396518.pdf 84884761747 SCOPUS 000324939100003 WOS cav_un_epca*0253212 IEEE Signal Processing Letters 1070-9908 1558-2361 Roč. 20 č. 11 2013 1114 1117 Institute of Electrical and Electronics Engineers