Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts / Paola Lecca |
Autore | Lecca, Paola |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 82 p. : ill. ; 24 cm |
Soggetto topico |
37N25 - Dynamical systems in biology [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] |
Soggetto non controllato |
Factor analysis
Latent class models Model identifiability Network inference Non-linear dynamics Parameter inference Regression analysis Self-starting models Stiff dynamics Systems biology |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249342 |
Lecca, Paola
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Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink |
Autore | Visser, Ingmar |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xvi, 267 p. : ill. ; 24 cm |
Altri autori (Persone) | Speekenbrink, Maarten |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 62Rxx - Statistics on algebraic and topological structures [MSC 2020] |
Soggetto non controllato |
Hidden Markov models
Latent class models Maximum likelihood estimation Mixture models Multivariate Multivariate time series R Programming Statistical Theory Time series Univariate Univariate time series |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0277950 |
Visser, Ingmar
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Cham, : Springer, 2022 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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