Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
1: Sources, applications and policies / Dinesh Kumar Aswal editor
| 1: Sources, applications and policies / Dinesh Kumar Aswal editor |
| Pubbl/distr/stampa | Singapore, : Springer, 2024 |
| Descrizione fisica | 1 testo elettronico (xix, 693 p. : ill.) |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
81V35 - Nuclear physics [MSC 2020] 82D30 - Statistical mechanical studies of random media, disordered materials (including liquid crystals and spin glasses) [MSC 2020] |
| Soggetto non controllato |
Internal and External Dose Measurements
Natural and Man-Made Radiation Radiation Emergency Response Radiation Protection Policies Radioecology |
| ISBN | 978-98-19-98038-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00308808 |
| Singapore, : Springer, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
2: Dose measurements / Dinesh Kumar Aswal editor
| 2: Dose measurements / Dinesh Kumar Aswal editor |
| Pubbl/distr/stampa | Singapore, : Springer, 2024 |
| Descrizione fisica | 1 testo elettronico (xix, 773 p. : ill.) |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
81V35 - Nuclear physics [MSC 2020] 82D30 - Statistical mechanical studies of random media, disordered materials (including liquid crystals and spin glasses) [MSC 2020] |
| Soggetto non controllato |
Internal and External Dose Measurements
Natural and Man-Made Radiation Radiation Emergency Response Radiation Protection Policies Radioecology |
| ISBN | 978-98-19-98038-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00308812 |
| Singapore, : Springer, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in domain adaptation theory / Ievgen Redko … [et al.]]
| Advances in domain adaptation theory / Ievgen Redko … [et al.]] |
| Pubbl/distr/stampa | London, : ISTE ; Oxford, : Elsevier, 2019 |
| Descrizione fisica | xvii, 190 p. : ill. ; 24 cm. |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] |
| ISBN | 978-17-85482-36-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0128818 |
| London, : ISTE ; Oxford, : Elsevier, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in domain adaptation theory / Ievgen Redko … [et al.]]
| Advances in domain adaptation theory / Ievgen Redko … [et al.]] |
| Pubbl/distr/stampa | London, : ISTE ; Oxford, : Elsevier, 2019 |
| Descrizione fisica | xvii, 190 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] |
| ISBN | 978-17-85482-36-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0128818 |
| London, : ISTE ; Oxford, : Elsevier, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in domain adaptation theory / Ievgen Redko … [et al.]]
| Advances in domain adaptation theory / Ievgen Redko … [et al.]] |
| Pubbl/distr/stampa | London, : ISTE ; Oxford, : Elsevier, 2019 |
| Descrizione fisica | xvii, 190 p. : ill. ; 24 cm |
| Soggetto topico |
62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 68-XX - Computer science [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] |
| ISBN | 978-17-85482-36-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00128818 |
| London, : ISTE ; Oxford, : Elsevier, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
| Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva |
| Autore | Nagy, Ivan |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XI, 113 p. : ill. ; 24 cm |
| Altri autori (Persone) | Suzdaleva, Evgenia |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Dynamic mixtures
Markov switching models Mixture estimation algorithms Mixture models Mixture prediction Mixtures of various distributions Open source programs Recursive Bayesian estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123391 |
Nagy, Ivan
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
| Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva |
| Autore | Nagy, Ivan |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XI, 113 p. : ill. ; 24 cm |
| Altri autori (Persone) | Suzdaleva, Evgenia |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F10 - Point estimation [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Dynamic mixtures
Markov switching models Mixture estimation algorithms Mixture models Mixture prediction Mixtures of various distributions Open source programs Recursive Bayesian estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123391 |
|
Nagy, Ivan
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Algorithms and programs of dynamic mixture Estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
| Algorithms and programs of dynamic mixture Estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva |
| Autore | Nagy, Ivan |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | XI, 113 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Suzdaleva, Evgenia |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123391 |
|
Nagy, Ivan
|
||
| XI, 113 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Introduction to Bayesian Inference, Methods and Computation / Nick Heard
| An Introduction to Bayesian Inference, Methods and Computation / Nick Heard |
| Autore | Heard, Nick |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xii, 169 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62A01 - Foundations and philosophical topics in statistics [MSC 2020] |
| Soggetto non controllato |
Bayes factors
Bayes linear regression Bayesian Statistics Bayesian latent factor models Bayesian nonparametrics Computational Bayesian inference Conjugate prior models Gaussian processes PyStan Stan |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274539 |
|
Heard, Nick
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Introduction to Bayesian Inference, Methods and Computation / Nick Heard
| An Introduction to Bayesian Inference, Methods and Computation / Nick Heard |
| Autore | Heard, Nick |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xii, 169 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] |
| Soggetto non controllato |
Bayes Factors
Bayes Linear Regression Bayesian Latent Factor Models Bayesian Statistics Bayesian non Parametrics Computational Bayesian Inference Conjugate Prior Models Gaussian processes PyStan Stan |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274539 |
|
Heard, Nick
|
||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
62F15 - Bayesian inference [MSC 2020]
(200)
- 62-XX - Statistics [MSC 2020] (129)
- 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] (32)
- 92B15 - General Biostatistics [MSC 2020] (28)
- 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] (26)