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Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts / Paola Lecca
| 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
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts / Paola Lecca
| 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-VAN00249342 |
|
Lecca, Paola
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| 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
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mixture and Hidden Markov Models with R / Ingmar Visser, Maarten Speekenbrink
| 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-VAN00277950 |
|
Visser, Ingmar
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||