| bibtype |
A -
Abstract
|
| ARLID |
0489184 |
| utime |
20240103215939.6 |
| mtime |
20180426235959.9 |
| title
(primary) (eng) |
Compensation of inaccurate meteorological data in source term determination problem using Bayesian methods |
| specification |
| page_count |
1 s. |
| media_type |
E |
|
| serial |
| title
|
Geophysical Research Abstracts |
| part_title |
Vol. 20 |
| publisher |
| place |
Munich |
| name |
EGU |
| year |
2018 |
|
|
| keyword |
linear inverse problem |
| keyword |
non-Gaussian statistics |
| keyword |
ETEX |
| author
(primary) |
| ARLID |
cav_un_auth*0267768 |
| name1 |
Tichý |
| name2 |
Ondřej |
| 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*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0352443 |
| name1 |
Hýža |
| name2 |
M. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0360250 |
| name1 |
Šindelářová |
| name2 |
Kateřina |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0341005 |
| name1 |
Ulrych |
| name2 |
Lukáš |
| 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 |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0335167 |
| name1 |
Belal |
| name2 |
Alkomiet |
| 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 |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
In this contribution, we propose two probabilistic models of the residue statistics. The first model is based on the assumption of non-Gaussian statistics of the residue. In particular, we choose Student-t model of the residues and design a Variational Bayesian estimation procedure for the source term. The second model is based on Gaussian model of the residues with non-diagonal covariance matrix. |
| action |
| ARLID |
cav_un_auth*0360251 |
| name |
EGU General Assembly 2018 |
| dates |
20180409 |
| mrcbC20-s |
20180413 |
| place |
Vídeň |
| country |
AT |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2019 |
| num_of_auth |
6 |
| mrcbC52 |
4 O 4o 20231122143142.9 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0283742 |
| mrcbC61 |
1 |
| cooperation |
| ARLID |
cav_un_auth*0360252 |
| name |
Státní ústav radiační ochrany, v. v. i. |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0360253 |
| name |
Matematicko-fyzikální fakulta, UK |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2018 |
| mrcbTft |
\nSoubory v repozitáři: 0489184.pdf |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
Geophysical Research Abstracts Vol. 20 EGU2018-15902 Munich EGU 2018 |
|