| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0462059 |
| utime |
20240103212531.0 |
| mtime |
20160831235959.9 |
| SCOPUS |
85006052659 |
| WOS |
000391891900289 |
| DOI |
10.1109/EUSIPCO.2016.7760500 |
| title
(primary) (eng) |
Bayesian estimation of unknown parameters over networks |
| specification |
| page_count |
5 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0462058 |
| ISBN |
978-0-9928-6266-4 |
| title
|
Proc. 2016 24th European Signal Processing Conference (EUSIPCO) |
| page_num |
1508-1512 |
| publisher |
| place |
Budapest |
| name |
EUSIPCO |
| year |
2016 |
|
|
| keyword |
parameter estimation |
| keyword |
Bayes theory |
| keyword |
mixture models |
| author
(primary) |
| ARLID |
cav_un_auth*0306051 |
| name1 |
Djurić |
| name2 |
P. M. |
| country |
US |
|
| author
|
| ARLID |
cav_un_auth*0242543 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| name1 |
Dedecius |
| name2 |
Kamil |
| institution |
UTIA-B |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0303543 |
| project_id |
GP14-06678P |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
We address the problem of sequential parameter estimation over networks using the Bayesian methodology. Each node sequentially acquires independent observations, where all the observations in the network contain signal(s) with unknown parameters. The nodes aim at obtaining accurate estimates of the unknown parameters and to that end, they collaborate with their neighbors. They communicate to the neighbors their latest posterior distributions of the unknown parameters. The nodes fuse the received information by using mixtures with weights proportional to the predictive distributions obtained from the respective node posteriors. Then they update the fused posterior using the next acquired observation, and the process repeats. We demonstrate the performance of the proposed approach with computer simulations and confirm its validity |
| action |
| ARLID |
cav_un_auth*0332877 |
| name |
24th European Signal Processing Conference (EUSIPCO) |
| dates |
29.08.2016-02.09.2016 |
| place |
Budapest |
| country |
HU |
|
| RIV |
BB |
| reportyear |
2017 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0261904 |
| mrcbC62 |
1 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Engineering Electrical Electronic |
| arlyear |
2016 |
| mrcbU14 |
85006052659 SCOPUS |
| mrcbU34 |
000391891900289 WOS |
| mrcbU63 |
cav_un_epca*0462058 Proc. 2016 24th European Signal Processing Conference (EUSIPCO) 978-0-9928-6266-4 1508 1512 Budapest EUSIPCO 2016 |
|