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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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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 |
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Heard, Nick
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Asymptotic Expansions for General Statistical Models / Johann Pfanzagl
| Asymptotic Expansions for General Statistical Models / Johann Pfanzagl |
| Autore | Pfanzagl, Johann |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1985 |
| Descrizione fisica | vii, 509 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] |
| Soggetto non controllato |
Approximation
Behavior Construction Distribution Estimator Functional Functions Mathematics Probability Statistical Theory Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268746 |
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Pfanzagl, Johann
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| New York, : Springer-Verlag, 1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic Expansions for General Statistical Models / Johann Pfanzagl
| Asymptotic Expansions for General Statistical Models / Johann Pfanzagl |
| Autore | Pfanzagl, Johann |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1985 |
| Descrizione fisica | vii, 509 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] |
| Soggetto non controllato |
Approximation
Behavior Constructions Distribution Estimator Functional Functions Mathematics Probability Statistical Theory Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268746 |
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Pfanzagl, Johann
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| New York, : Springer-Verlag, 1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Asymptotic Statistical Inference : A Basic Course Using R / Shailaja Deshmukh, Madhuri Kulkarni
| Asymptotic Statistical Inference : A Basic Course Using R / Shailaja Deshmukh, Madhuri Kulkarni |
| Autore | Deshmukh, Shailaja |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xviii, 529 p. : ill. ; 24 cm |
| Altri autori (Persone) | Kulkarni, Madhuri |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] |
| Soggetto non controllato |
Asymptotic Inference using R
CAN Estimators Consistency and Asymptotic Normality using R Large Sample Inference with R Large Sample Tests using R R for Statistical Inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275423 |
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Deshmukh, Shailaja
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Asymptotic Statistical Inference : A Basic Course Using R / Shailaja Deshmukh, Madhuri Kulkarni
| Asymptotic Statistical Inference : A Basic Course Using R / Shailaja Deshmukh, Madhuri Kulkarni |
| Autore | Deshmukh, Shailaja |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xviii, 529 p. : ill. ; 24 cm |
| Altri autori (Persone) | Kulkarni, Madhuri |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] |
| Soggetto non controllato |
Asymptotic Inference using R
CAN Estimators Consistency and Asymptotic Normality using R Large Sample Inference with R Large Sample Tests using R R for Statistical Inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275423 |
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Deshmukh, Shailaja
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayes Theory / J. A. Hartigan
| Bayes Theory / J. A. Hartigan |
| Autore | Hartigan, John A. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1983 |
| Descrizione fisica | xii, 146 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Boundary Element Methods Conditional probability Finite Innovation Logic Objects Probability Probability axioms Probability distribution Proofs Shapes Similarity Techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268567 |
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Hartigan, John A.
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| New York, : Springer-Verlag, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Compendium / Marcel van Oijen
| Bayesian Compendium / Marcel van Oijen |
| Autore | Oijen, Marcel van |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 204 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62A01 - Foundations and philosophical topics in statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Data Assimilation Goodness-of-Fit Graphical Modelling Linear modelling MSE-decomposition Multidimensionality Risk analysis Sampling from the posterior |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248744 |
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Oijen, Marcel van
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Compendium / Marcel van Oijen
| Bayesian Compendium / Marcel van Oijen |
| Autore | Oijen, Marcel van |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 204 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] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Data Assimilation Goodness-of-fit test Graphical Modelling Linear modelling MSE-decomposition Multidimensionality Risk analysis Sampling from the posterior |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248744 |
|
Oijen, Marcel van
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Forecasting and Dynamic Models / Mike West, Jeff Harrison
| Bayesian Forecasting and Dynamic Models / Mike West, Jeff Harrison |
| Autore | West, Mike |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 1997 |
| Descrizione fisica | xiv, 680 p. : ill. ; 24 cm |
| Altri autori (Persone) | Harrison, Jeff |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
| Soggetto non controllato |
Data analysis
Forecasting Modeling Regression Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00297705 |
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West, Mike
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| New York, : Springer, 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Soggetto topico
- 62-XX - Statistics [MSC 2020] (47)
-
62A01 - Foundations and philosophical topics in statistics [MSC 2020]
(47)
- 62F15 - Bayesian inference [MSC 2020] (9)
- 62F12 - Asymptotic properties of parametric estimators [MSC 2020] (8)
- 62H05 - Characterization and structure theory for multivariate probability distributions; copulas [MSC 2020] (6)