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Effective Statistical Learning Methods for Actuaries III
ISBN-13:
9783030258276
Veröffentl:
2019
Seiten:
250
Autor:
Michel Denuit
Serie:
Springer Actuarial Springer Actuarial Lecture Notes
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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.
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.
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