03732nam 22005895 450 99641684720331620200701050518.03-030-25827-010.1007/978-3-030-25827-6(CKB)4100000009759029(MiAaPQ)EBC5969615(DE-He213)978-3-030-25827-6(PPN)258306408(EXLCZ)99410000000975902920191031d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierEffective Statistical Learning Methods for Actuaries III[electronic resource] 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,2523-32893-030-25826-2 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,2523-3289Actuarial scienceStatistics Neural networks (Computer science) Actuarial Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M13080Statistics for Business, Management, Economics, Finance, Insurancehttps://scigraph.springernature.com/ontologies/product-market-codes/S17010Mathematical Models of Cognitive Processes and Neural Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/M13100Actuarial science.Statistics .Neural networks (Computer science) .Actuarial Sciences.Statistics for Business, Management, Economics, Finance, Insurance.Mathematical Models of Cognitive Processes and Neural Networks.368.01Denuit Michelauthttp://id.loc.gov/vocabulary/relators/aut781288Hainaut Donatienauthttp://id.loc.gov/vocabulary/relators/autTrufin Julienauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK996416847203316Effective Statistical Learning Methods for Actuaries III2416322UNISA