bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0427944 |
utime |
20240103204215.7 |
mtime |
20140529235959.9 |
title
(primary) (eng) |
Granger Causality for Ill-Posed Problems: Methods, Ideas and Application in Life Sciences |
specification |
page_count |
42 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0428479 |
title
|
Conference on Statistics and Causality |
publisher |
place |
Vienna |
name |
University of Vienna |
year |
2014 |
|
|
keyword |
Granger causality |
keyword |
statistics |
keyword |
variable selection |
keyword |
thresholding |
author
(primary) |
ARLID |
cav_un_auth*0247122 |
name1 |
Hlaváčková-Schindler |
name2 |
Kateřina |
full_dept (cz) |
Adaptivní systémy |
full_dept (eng) |
Department of Adaptive Systems |
department (cz) |
AS |
department (eng) |
AS |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
GA13-13502S |
agency |
GA ČR |
ARLID |
cav_un_auth*0292725 |
|
abstract
(eng) |
For detecting causal relationships between variables xj, j = 1, …, p the concept of the so called multivariate Granger causality has been proposed. Based on the intuition that the cause should precede its effect, in Granger causality one says that a variable xi can be potentially caused by the past versions of the involved variables xj, j = 1, …, p. |
action |
ARLID |
cav_un_auth*0302962 |
name |
Statistics and Causality - Conference 2014 |
place |
Vienna |
dates |
23.05.2014-24.05.2014 |
country |
AT |
|
reportyear |
2015 |
RIV |
BB |
num_of_auth |
1 |
presentation_type |
ZP |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0233818 |
mrcbC61 |
1 |
confidential |
S |
arlyear |
2014 |
mrcbU63 |
cav_un_epca*0428479 Conference on Statistics and Causality Vienna University of Vienna 2014 |
|