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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
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
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Prior processes and their applications : nonparametric bayesian estimation / Eswar G. Phadia
| Prior processes and their applications : nonparametric bayesian estimation / Eswar G. Phadia |
| Autore | Phadia, Eswar G. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XVII, 327 p. : ill. ; 24 cm |
| Soggetto topico |
60G05 - Foundations of stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62N01 - Censored data models [MSC 2020] 62G10 - Nonparametric hypothesis testing [MSC 2020] |
| Soggetto non controllato |
Bayesian nonparametrics
Dirichlet process High-Dimensional Data Machine learning Survival function |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115274 |
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Phadia, Eswar G.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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