bibtype |
A -
Abstract
|
ARLID |
0445789 |
utime |
20240103210255.3 |
mtime |
20150806235959.9 |
title
(primary) (eng) |
Bayesian Estimation of Prior Variance in Source Term Determination |
specification |
page_count |
1 s. |
media_type |
C |
|
serial |
ARLID |
cav_un_epca*0445788 |
title
|
EGU General Assembly Conference Abstracts |
page_num |
5563-5563 |
publisher |
place |
Vienna |
name |
EGU |
year |
2015 |
|
|
keyword |
inverse modeling |
keyword |
Bayesian approach |
author
(primary) |
ARLID |
cav_un_auth*0101207 |
name1 |
Šmídl |
name2 |
Václav |
full_dept (cz) |
Adaptivní systémy |
full_dept (eng) |
Department of Adaptive Systems |
department (cz) |
AS |
department (eng) |
AS |
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*0228606 |
name1 |
Hofman |
name2 |
Radek |
full_dept (cz) |
Adaptivní systémy |
full_dept |
Department of Adaptive Systems |
department (cz) |
AS |
department |
AS |
institution |
UTIA-B |
full_dept |
Department of Adaptive Systems |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
7F14287 |
agency |
GA MŠk |
country |
CZ |
ARLID |
cav_un_auth*0318110 |
|
abstract
(eng) |
The classical formulation of the linear inverse problem is studied from Bayesian point of view. We show that the classical regularization is equivalent to prior covariance matrix. We formulate several parametrization of the prior covariance matrix and derive estimation algorithms for them. The advantages of teh new algorithms are demonstrated on data from teh ETEX experiment. |
action |
ARLID |
cav_un_auth*0318109 |
name |
EGU General Assembly |
place |
Vienna |
dates |
17.4.2015-22.4.2015 |
country |
AT |
|
reportyear |
2016 |
RIV |
BB |
num_of_auth |
2 |
mrcbC52 |
4 O 4o 20231122141037.2 |
presentation_type |
PO |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0248311 |
confidential |
S |
arlyear |
2015 |
mrcbTft |
\nSoubory v repozitáři: 0445789.pdf |
mrcbU63 |
cav_un_epca*0445788 EGU General Assembly Conference Abstracts 5563 5563 Vienna EGU 2015 |
|