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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
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| 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
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||
| 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
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||
| 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 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-VAN00274539 |
|
Heard, Nick
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||
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114408 |
|
Haslwanter, Thomas
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter
| An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter |
| Autore | Haslwanter, Thomas |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 278 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62N02 - Estimation in survival analysis and censored data [MSC 2020] 62N03 - Testing in survival analysis and censored data [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Alternative to R
Applications in life sciences Data analysis Introductory Statistics Programming Python Python source code Statistical Methods Statistical tests Statistics and computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114408 |
|
Haslwanter, Thomas
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||