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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
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| 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
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||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical Inference and Machine Learning for Big Data / Mayer Alvo
| Statistical Inference and Machine Learning for Big Data / Mayer Alvo |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxiv, 431 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Big Data
Machine learning Multivariate Neural networks Nonparametric Symbolic data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278138 |
|
Alvo, Mayer
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Statistical Inference and Machine Learning for Big Data / Mayer Alvo
| Statistical Inference and Machine Learning for Big Data / Mayer Alvo |
| Autore | Alvo, Mayer |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxiv, 431 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Big Data
Machine learning Multivariate Neural networks Nonparametric Symbolic data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278138 |
|
Alvo, Mayer
|
||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||