Numerical optimization of the likelihood function based on Kalman filter in the GARCH models
Збережено в:
Дата: | 2022 |
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Автор: | |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
2022
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Назва видання: | Mathematical Modeling and Computing |
Онлайн доступ: | http://jnas.nbuv.gov.ua/article/UJRN-0001373429 |
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Назва журналу: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
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open-sciencenbuvgovua-21712023-09-12T18:00:48Z Numerical optimization of the likelihood function based on Kalman filter in the GARCH models M. Benmoumen 2312-9794 2022 en Mathematical Modeling and Computing http://jnas.nbuv.gov.ua/article/UJRN-0001373429 Article |
institution |
Library portal of National Academy of Sciences of Ukraine | LibNAS |
collection |
Open-Science |
language |
English |
series |
Mathematical Modeling and Computing |
spellingShingle |
Mathematical Modeling and Computing M. Benmoumen Numerical optimization of the likelihood function based on Kalman filter in the GARCH models |
format |
Article |
author |
M. Benmoumen |
author_facet |
M. Benmoumen |
author_sort |
M. Benmoumen |
title |
Numerical optimization of the likelihood function based on Kalman filter in the GARCH models |
title_short |
Numerical optimization of the likelihood function based on Kalman filter in the GARCH models |
title_full |
Numerical optimization of the likelihood function based on Kalman filter in the GARCH models |
title_fullStr |
Numerical optimization of the likelihood function based on Kalman filter in the GARCH models |
title_full_unstemmed |
Numerical optimization of the likelihood function based on Kalman filter in the GARCH models |
title_sort |
numerical optimization of the likelihood function based on kalman filter in the garch models |
publishDate |
2022 |
url |
http://jnas.nbuv.gov.ua/article/UJRN-0001373429 |
work_keys_str_mv |
AT mbenmoumen numericaloptimizationofthelikelihoodfunctionbasedonkalmanfilterinthegarchmodels |
first_indexed |
2023-06-08T19:27:30Z |
last_indexed |
2023-09-24T18:01:37Z |
_version_ |
1796877493176631296 |