Statistical Foundations of Actuarial Learning and its Applications

Statistical Foundations of Actuarial Learning and its Applications

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This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statisti...

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Bibliographic Details
Main Author: Wüthrich, Mario V. (auth)
Other Authors: Merz, Michael (auth)
Format: Electronic Book Chapter
Language:English
Published: Cham Springer Nature 2023
Series:Springer Actuarial
Subjects:
Applied mathematics
Probability & statistics
Machine learning
Algorithms & data structures
Artificial intelligence
Deep Learning
Actuarial Modeling
Pricing and Claims Reserving
Artificial Neural Networks
Regression Modeling
Online Access:DOAB: download the publication
DOAB: description of the publication
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