Sensitivity Analysis and Practical Identifiability of Some Mathematical Models in Biology Научная публикация
Журнал |
Journal of Applied and Industrial Mathematics
ISSN: 1990-4789 , E-ISSN: 1990-4797 |
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Вых. Данные | Год: 2020, Том: 14, Номер: 1, Страницы: 115-130 Страниц : 16 DOI: 10.1134/S1990478920010123 | ||||||
Ключевые слова | identifiability; inverse problem; method of correlation matrix; Monte Carlo method; ordinary differential equations; sensitivity analysis; sensitivity matrix | ||||||
Авторы |
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Реферат:
We study the identifiability of some mathematical models of spreading TB and HIV coinfections in a population and the dynamics of HIV-infection at the cellular level. Sensitivity analysis is carried out using the orthogonal method and the eigenvalue method which are based on studying the properties of the sensitivity matrix and show the effect of the model coefficient change on simulation results. Practical identifiability is investigated which determines the possibility of reconstructing coefficients from the noisy experimental data. The analysis is performed using the correlation matrix and Monte Carlo method, while taking into consideration the Gaussian noise in measurements. The results of numerical calculations are presented on whose basis we obtain the identifiable sets of parameters. © 2020, Pleiades Publishing, Ltd.
Библиографическая ссылка:
Krivorotko O.I.
, Andornaya D.V.
, Kabanikhin S.I.
Sensitivity Analysis and Practical Identifiability of Some Mathematical Models in Biology
Journal of Applied and Industrial Mathematics. 2020. V.14. N1. P.115-130. DOI: 10.1134/S1990478920010123 Scopus OpenAlex
Sensitivity Analysis and Practical Identifiability of Some Mathematical Models in Biology
Journal of Applied and Industrial Mathematics. 2020. V.14. N1. P.115-130. DOI: 10.1134/S1990478920010123 Scopus OpenAlex
Идентификаторы БД:
Scopus: | 2-s2.0-85082390445 |
OpenAlex: | W3012277090 |