| Dewey Class |
368.01 |
| Titolo |
Effective Statistical Learning Methods for Actuaries III ([EBook]) : Neural Networks and Extensions / by Michel Denuit, Donatien Hainaut, Julien Trufin. |
| Autore |
Denuit, Michel |
| Added Personal Name |
Hainaut, Donatien |
| Trufin, Julien |
| Other name(s) |
SpringerLink (Online service) |
| Pubblicazione |
Cham : Springer International Publishing , 2019. |
| Physical Details |
XIII, 250 pages: 78 illus., 75 illus. in color. : online resource. |
| Serie |
Springer Actuarial Lecture Notes |
| ISBN |
9783030258276 |
| Summary Note |
Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. The third volume of the trilogy simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous and yet accessible. The authors proceed by successive generalizations, requiring of the reader only a basic knowledge of statistics. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting. This book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning. .: |
| Contents note |
Preface. - Feed-forward Neural Networks. - Byesian Neural Networks and GLM. - Deep Neural Networks -- Dimension-Reduction with Forward Neural Nets Applied to Mortality. - Self-organizing Maps and k-means clusterin in non Life Insurance. - Ensemble of Neural Networks -- Gradient Boosting with Neural Networks. - Time Series Modelling with Neural Networks -- References. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-3-030-25827-6 |
| Link alle Opere Legate |
Riferimenti soggetto: .
Actuarial science .
Mathematical Models of Cognitive Processes and Neural Networks .
Neural networks (Computer science) .
Statistics .
Statistics for Business, Management, Economics, Finance, Insurance .
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