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Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors
| Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 386 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
00B30 - Festschriften [MSC 2020] 62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Composite design Covariance matrix Data Mining Experimental design Functional data High-Dimensional Data Longitudinal data Machine learning Multivariate Data Network data Quantile regression Robust Design Survival data Variable Selection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248857 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors
| Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 386 p. : ill. ; 24 cm |
| Soggetto topico |
00B30 - Festschriften [MSC 2020]
62-XX - Statistics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Composite design Covariance matrix Data Mining Experimental design Functional data High-Dimensional Data Longitudinal data Machine learning Multivariate Data Network data Quantile regression Robust Design Survival data Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248857 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize
| Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize |
| Autore | Soize, Christian |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxii, 329 p. : ill. ; 24 cm |
| Soggetto topico |
47-XX - Operator theory [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
High Stochastic Dimension
MCMC Methods Maximum Entropy Principle Model Uncertainties Model-parameter Uncertainties Non-Gaussian Random Fields Nonparametric Uncertainties Polynomial Chaos Expansion Random matrices Robust Design Statistical inverse problems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123409 |
Soize, Christian
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize
| Uncertainty quantification : an accelerated course with advanced applications in computational engineering / Christian Soize |
| Autore | Soize, Christian |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxii, 329 p. : ill. ; 24 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 47-XX - Operator theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
High Stochastic Dimension
MCMC Methods Maximum Entropy Principle Model Uncertainties Model-parameter Uncertainties Non-Gaussian Random Fields Nonparametric Uncertainties Polynomial Chaos Expansion Random matrices Robust Design Statistical inverse problems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123409 |
|
Soize, Christian
|
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||