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1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xvi, 441 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Exponential dispersion model
GLM Insurance risk classification Regression analysis Supervised learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126842 |
Denuit, Michel
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xvi, 441 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 68-XX - Computer science [MSC 2020] |
| Soggetto non controllato |
Exponential dispersion model
GLM Insurance risk classification Regression analysis Supervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126842 |
|
Denuit, Michel
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Edizione | [Cham : Springer, 2019] |
| Pubbl/distr/stampa | xvi, 441 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126842 |
|
Denuit, Michel
|
||
| xvi, 441 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 228 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91G05 - Actuarial mathematics [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Insurance risk classification Machine learning Supervised learning Tree-based methods for insurance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249059 |
|
Denuit, Michel
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 228 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91G05 - Actuarial mathematics [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Insurance risk classification Machine learning Supervised learning Tree-based methods for insurance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249059 |
|
Denuit, Michel
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiii, 250 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Deep learing for insurance Insurance risk classification Machine learning Neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126843 |
|
Denuit, Michel
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiii, 250 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 68-XX - Computer science [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Deep learing for insurance Insurance risk classification Machine learning Neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126843 |
|
Denuit, Michel
|
||
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 3: Neural Networks and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Edizione | [Cham : Springer, 2019] |
| Pubbl/distr/stampa | xiii, 250 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126843 |
|
Denuit, Michel
|
||
| xiii, 250 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Continuous Time Processes for Finance : Switching, Self-exciting, Fractional and other Recent Dynamics / Donatien Hainaut
| Continuous Time Processes for Finance : Switching, Self-exciting, Fractional and other Recent Dynamics / Donatien Hainaut |
| Autore | Hainaut, Donatien |
| Pubbl/distr/stampa | Cham, : Bocconi university, : Springer, 2022 |
| Descrizione fisica | xviii, 345 p. : ill. ; 24 cm |
| Soggetto non controllato |
Econometrics
Fractional Brownian motion Gaussian fields Quantitative Finance Sub-diffusions Switching processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276998 |
|
Hainaut, Donatien
|
||
| Cham, : Bocconi university, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Continuous Time Processes for Finance : Switching, Self-exciting, Fractional and other Recent Dynamics / Donatien Hainaut
| Continuous Time Processes for Finance : Switching, Self-exciting, Fractional and other Recent Dynamics / Donatien Hainaut |
| Autore | Hainaut, Donatien |
| Pubbl/distr/stampa | Cham, : Bocconi university, : Springer, 2022 |
| Descrizione fisica | xviii, 345 p. : ill. ; 24 cm |
| Soggetto non controllato |
Econometrics
Fractional Brownian motion Gaussian fields Quantitative Finance Sub-diffusions Switching processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276998 |
|
Hainaut, Donatien
|
||
| Cham, : Bocconi university, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
