Effective statistical learning methods for actuaries. Neural networks and extensions / III, ([2019])

• Record Type: Book
• Other Titles: Neural networks and extensions
• Further Information: Note: Michel Denuit, Donatien Hainaut, Julien Trufin.
• Authors: Denuit, M (Michel); Hainaut, Donatien; Trufin, Julien
• Contents: 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.
• Publisher Details: Cham : Springer
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource, illustrations (some color)
• Subjects: 368.01; Actuarial science; Insurance -- Statistical methods; Neural networks (Computer science); Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030258276; 3030258270
• Related ISBNs: 9783030258269
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed November 6, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.