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Machine Learning in Finance : From Theory to Practice / Matthew F. Dixon, Igor Halperin, Paul Bilokon
| Machine Learning in Finance : From Theory to Practice / Matthew F. Dixon, Igor Halperin, Paul Bilokon |
| Autore | Dixon, Matthew F. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxv, 548 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Bilokon, Paul
Halperin, Igor |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [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] 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] 91B84 - Economic time series analysis [MSC 2020] 91G80 - Financial applications of other theories [MSC 2020] 91G10 - Portfolio theory [MSC 2020] |
| Soggetto non controllato |
Bayesian neural networks
Financial Econometrics Financial mathematics Investment Management Machine learning Neural networks Reinforcement Learning Time Series Modeling Wealth Management |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249410 |
Dixon, Matthew F.
|
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Machine Learning in Finance : From Theory to Practice / Matthew F. Dixon, Igor Halperin, Paul Bilokon
| Machine Learning in Finance : From Theory to Practice / Matthew F. Dixon, Igor Halperin, Paul Bilokon |
| Autore | Dixon, Matthew F. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxv, 548 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Bilokon, Paul
Halperin, Igor |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [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] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] 91G10 - Portfolio theory [MSC 2020] 91G80 - Financial applications of other theories [MSC 2020] |
| Soggetto non controllato |
Bayesian neural networks
Financial Econometrics Financial mathematics Investment Management Machine learning Neural networks Reinforcement Learning Time Series Modeling Wealth Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249410 |
|
Dixon, Matthew F.
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Retirement Income Recipes in R : From Ruin Probabilities to Intelligent Drawdowns / Moshe Arye Milevsky
| Retirement Income Recipes in R : From Ruin Probabilities to Intelligent Drawdowns / Moshe Arye Milevsky |
| Autore | Milevsky, Moshe Arye |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxix, 302 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Accounting
Annuities Decumulation Household finance Insurance Lifecycle Longevity Pension R code Retirement Wealth Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249740 |
|
Milevsky, Moshe Arye
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Retirement Income Recipes in R : From Ruin Probabilities to Intelligent Drawdowns / Moshe Arye Milevsky
| Retirement Income Recipes in R : From Ruin Probabilities to Intelligent Drawdowns / Moshe Arye Milevsky |
| Autore | Milevsky, Moshe Arye |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxix, 302 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Accounting
Annuities Decumulation Household finance Insurance Lifecycle Longevity Pension R code Retirement Wealth Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249740 |
|
Milevsky, Moshe Arye
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||