| bibtype |
J -
Journal Article
|
| ARLID |
0411287 |
| utime |
20240103182315.6 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
When has estimation reached a steady state? The Bayesian sequential test |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0256772 |
| ISSN |
0890-6327 |
| title
|
International Journal of Adaptive Control and Signal Processing |
| volume_id |
19 |
| volume |
1 (2005) |
| page_num |
41-57 |
| publisher |
|
|
| title
(cze) |
Kdy odhadování dosáhne stacionárního stavu? Bayesovský sekvenční test |
| keyword |
Bayesian estimation |
| keyword |
sequential stopping |
| keyword |
ARX model |
| author
(primary) |
| ARLID |
cav_un_auth*0101124 |
| name1 |
Kárný |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101138 |
| name1 |
Kracík |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| institution |
UTIA-B |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101168 |
| name1 |
Nedoma |
| name2 |
Petr |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| COSATI |
12B |
| cas_special |
| project |
| project_id |
IBS1075351 |
| agency |
GA AV ČR |
| ARLID |
cav_un_auth*0001804 |
|
| project |
| project_id |
GA102/03/0049 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0001805 |
|
| project |
| project_id |
1ET100750404 |
| agency |
GA AV ČR |
| ARLID |
cav_un_auth*0001793 |
|
| project |
| project_id |
1M0572 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0001814 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The paper is concerned with distributions of time series which undergo a transient period (e.g. posterior estimates of parameters). In computer intensive applications, it is desirable to stop the processing when the transient period is practically over. This aspect is adressed here from a Bayesian perspective. |
| abstract
(cze) |
Práce se zabývá distribucí časových řad, které procházejí přechodným obdobím (např. Posteriorní odhady parametrů). V počítačově náročných aplikacích je žádoucí zastavit zpracování, když přechodné období prakticky skončí. Tento aspekt je zde zasazen z bayesovské perspektivy. |
| RIV |
BB |
| reportyear |
2006 |
| department |
AS |
| permalink |
http://hdl.handle.net/11104/0131370 |
| ID_orig |
UTIA-B 20050015 |
| arlyear |
2005 |
| mrcbU63 |
cav_un_epca*0256772 International Journal of Adaptive Control and Signal Processing 0890-6327 1099-1115 Roč. 19 č. 1 2005 41 57 Wiley |
|