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
url http://library.utia.cas.cz/separaty/2024/SI/volf-0585174.pdf
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.