bibtype |
J -
Journal Article
|
ARLID |
0585174 |
utime |
20240903170656.9 |
mtime |
20240413235959.9 |
SCOPUS |
85190740835 |
WOS |
001211403600001 |
DOI |
10.14736/kyb-2024-1-0110 |
title
(primary) (eng) |
A model and application of binary random sequence with probabilities depending on history |
specification |
page_count |
15 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0297163 |
ISSN |
0023-5954 |
title
|
Kybernetika |
volume_id |
60 |
volume |
1 (2024) |
page_num |
110-124 |
publisher |
name |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
|
keyword |
statistics |
keyword |
discrete time process |
keyword |
logistic regression, |
author
(primary) |
ARLID |
cav_un_auth*0101227 |
name1 |
Volf |
name2 |
Petr |
institution |
UTIA-B |
full_dept (cz) |
Stochastická informatika |
full_dept (eng) |
Department of Stochastic Informatics |
department (cz) |
SI |
department (eng) |
SI |
full_dept |
Department of Stochastic Informatics |
share |
50 |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0393231 |
name1 |
Kouřim |
name2 |
T. |
country |
CZ |
share |
50 |
|
source |
|
cas_special |
abstract
(eng) |
This paper presents a model of binary random sequence with probabilities depending on previous sequence values as well as on a set of covariates. Both these dependencies are expressed via the logistic regression model, such a choice enables an easy and reliable model parameters estimation. Further, a model with time-depending parameters is considered and method of solution proposed. The main objective is then the application dealing with both artificial and real data cases, illustrating the method of model evaluation and its use. |
result_subspec |
WOS |
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2025 |
num_of_auth |
2 |
inst_support |
RVO:67985556 |
permalink |
https://hdl.handle.net/11104/0353495 |
confidential |
S |
mrcbC91 |
A |
mrcbT16-e |
COMPUTERSCIENCECYBERNETICS |
mrcbT16-j |
0.192 |
mrcbT16-s |
0.275 |
mrcbT16-D |
Q4 |
mrcbT16-E |
Q4 |
arlyear |
2024 |
mrcbU14 |
85190740835 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
001211403600001 WOS |
mrcbU63 |
cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 60 č. 1 2024 110 124 Ústav teorie informace a automatizace AV ČR, v. v. i. |
|