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 | ||
![]() | ||
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 |
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 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Noncausal Stochastic Calculus / Shigeyoshi Ogawa |
Autore | Ogawa, Shigeyoshi |
Pubbl/distr/stampa | Tokyo, : Springer, 2017 |
Descrizione fisica | xii, 210 p. : ill. ; 24 cm |
Soggetto topico |
60H05 - Stochastic integrals [MSC 2020]
60H07 - Stochastic calculus of variations and the Malliavin calculus [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 42A61 - Probabilistic methods for one variable harmonic analysis [MSC 20210] |
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-VAN0123463 |
Ogawa, Shigeyoshi
![]() |
||
Tokyo, : Springer, 2017 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Noncausal Stochastic Calculus / Shigeyoshi Ogawa |
Autore | Ogawa, Shigeyoshi |
Pubbl/distr/stampa | Tokyo, : Springer, 2017 |
Descrizione fisica | xii, 210 p. : ill. ; 24 cm |
Soggetto topico |
42A61 - Probabilistic methods for one variable harmonic analysis [MSC 20210]
60-XX - Probability theory and stochastic processes [MSC 2020] 60H05 - Stochastic integrals [MSC 2020] 60H07 - Stochastic calculus of variations and the Malliavin calculus [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-VAN00123463 |
Ogawa, Shigeyoshi
![]() |
||
Tokyo, : Springer, 2017 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|