| bibtype |
J -
Journal Article
|
| ARLID |
0524262 |
| utime |
20240103224037.2 |
| mtime |
20200514235959.9 |
| WOS |
000536270500001 |
| SCOPUS |
85087645141 |
| DOI |
10.1109/LSP.2020.2987723 |
| title
(primary) (eng) |
Sequential Poisson Regression in Diffusion Networks |
| specification |
| page_count |
5 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0253212 |
| ISSN |
1070-9908 |
| title
|
IEEE Signal Processing Letters |
| volume_id |
27 |
| volume |
1 (2020) |
| page_num |
625-629 |
| publisher |
| name |
Institute of Electrical and Electronics Engineers |
|
|
| keyword |
diffusion |
| keyword |
distributed estimation |
| keyword |
Poisson regression |
| author
(primary) |
| ARLID |
cav_un_auth*0242543 |
| share |
50 |
| name1 |
Dedecius |
| name2 |
Kamil |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0247754 |
| name1 |
Žemlička |
| name2 |
R. |
| country |
CZ |
|
| source |
|
| source |
|
| cas_special |
| abstract
(eng) |
The Poisson regression is a popular model for positive integer random variables determined by known explanatory variables. This letter studies the problem of its collaborative Bayesian sequential estimation under potentially slowly time-varying regression coefficients. We assume networks where agents share their information about the inferred quantities with adjacent neighbors in order to improve the overall estimation performance. The communication strategy is the information diffusion, i.e., only one information exchange per time instant is allowed. |
| RIV |
IN |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20201 |
| reportyear |
2021 |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0308918 |
| confidential |
S |
| mrcbC86 |
3+4 Article Engineering Electrical Electronic |
| mrcbC91 |
C |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-i |
4.50943 |
| mrcbT16-j |
1.059 |
| mrcbT16-s |
0.815 |
| mrcbT16-B |
81.718 |
| mrcbT16-D |
Q1 |
| mrcbT16-E |
Q2 |
| arlyear |
2020 |
| mrcbU14 |
85087645141 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000536270500001 WOS |
| mrcbU63 |
cav_un_epca*0253212 IEEE Signal Processing Letters 1070-9908 1558-2361 Roč. 27 č. 1 2020 625 629 Institute of Electrical and Electronics Engineers |
|