Effective Statistical Learning Methods for Actuaries III Neural Networks and Extensions
tarafından
Denuit, Michel. author.
Başlık
:
Effective Statistical Learning Methods for Actuaries III Neural Networks and Extensions
Yazar
:
Denuit, Michel. author.
ISBN
:
9783030258276
Yazar
:
Denuit, Michel. author.
Edisyon
:
1st ed. 2019.
Fiziksel Niteleme
:
XIII, 250 p. 78 illus., 75 illus. in color. online resource.
Seri
:
Springer Actuarial Lecture Notes,
İçindekiler
:
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.
Özet
:
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. .
Konu Başlığı
:
Actuarial science.
Statistics .
Neural networks (Computer science) .
Actuarial Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/M13080
Statistics for Business, Management, Economics, Finance, Insurance. https://scigraph.springernature.com/ontologies/product-market-codes/S17010
Mathematical Models of Cognitive Processes and Neural Networks. https://scigraph.springernature.com/ontologies/product-market-codes/M13100
Yazar Ek Girişi
:
Hainaut, Donatien.
Trufin, Julien.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
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Electronic Book | 428465-1001 | HG8779 -8793 | Springer E-Book Collection |