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.
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 184 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
| Soggetto non controllato |
Applications
Bayesian Inference Bayesian Modeling Bayesian computation Computational problems in statistics Data science Inference from stochastic processes Methodological and Applied Statistics Multivariate Analysis Neurosciences, astrostatistics, climate change Nonparametric inference Parametric inference Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126746 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
| Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors |
| Edizione | [Cham : Springer, 2019] |
| Pubbl/distr/stampa | xi, 184 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126746 |
| xi, 184 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21 / Raffaele Argiento ... [et al.] editors
| Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21 / Raffaele Argiento ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | IX, 251 p. : ill. ; 24 cm |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
97K80 - Applied statistics (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Bayesan statistics
Computational statistics Statistical Theory and Methods Theoretical and Applied statistics Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123468 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21 / Raffaele Argiento ... [et al.] editors
| Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21 / Raffaele Argiento ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | IX, 251 p. : ill. ; 24 cm |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
97K80 - Applied statistics (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Bayesan statistics
Computational statistics Statistical Theory and Methods Theoretical and Applied statistics Young researchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123468 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21 / Raffaele Argiento ... [et al.] editors
| Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21 / Raffaele Argiento ... [et al.] editors |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | IX, 251 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
97K80 - Applied statistics (educational aspects) [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123468 |
| IX, 251 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1–3 / Raffaele Argiento, Federico Camerlenghi, Sally Paganin editors
| New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1–3 / Raffaele Argiento, Federico Camerlenghi, Sally Paganin editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xi, 117 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Bayesian Statistics
Bayesian nonparametrics Markov chain Mixture models Monte Carlo algorithms Structural Learning Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277965 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1–3 / Raffaele Argiento, Federico Camerlenghi, Sally Paganin editors
| New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1–3 / Raffaele Argiento, Federico Camerlenghi, Sally Paganin editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xi, 117 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Bayesian Statistics
Bayesian nonparametrics Markov chain Mixture models Monte Carlo algorithms Structural Learning Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277965 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||