03625nam 22006495 450 991034931660332120251113205637.09783030258276303025827010.1007/978-3-030-25827-6(CKB)4100000009759029(MiAaPQ)EBC5969615(DE-He213)978-3-030-25827-6(PPN)258306408(MiAaPQ)EBC31862528(Au-PeEL)EBL31862528(EXLCZ)99410000000975902920191031d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEffective Statistical Learning Methods for Actuaries III Neural Networks and Extensions /by Michel Denuit, Donatien Hainaut, Julien Trufin1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (258 pages) illustrationsSpringer Actuarial Lecture Notes,2523-32979783030258269 3030258262 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.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. .Springer Actuarial Lecture Notes,2523-3297Actuarial scienceStatisticsNeural networks (Computer science)Actuarial MathematicsStatistics in Business, Management, Economics, Finance, InsuranceMathematical Models of Cognitive Processes and Neural NetworksActuarial science.Statistics.Neural networks (Computer science)Actuarial Mathematics.Statistics in Business, Management, Economics, Finance, Insurance.Mathematical Models of Cognitive Processes and Neural Networks.368.01368.01Denuit Michelauthttp://id.loc.gov/vocabulary/relators/aut781288Hainaut Donatienauthttp://id.loc.gov/vocabulary/relators/autTrufin Julienauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910349316603321Effective Statistical Learning Methods for Actuaries III2416322UNINA