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 | ||
| 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 Chains 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 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||