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Statistical Foundations of Actuarial Learning and Its Applications
Paperback
Series: Springer Actuarial
Business GeneralGeneral ComputersGeneral Mathematics
ISBN13: 9783031124112
Publisher: Springer Nature
Published: Nov 23 2022
Pages: 605
Weight: 1.89
Height: 1.25 Width: 6.14 Depth: 9.21
Language: English
Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features.
Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
1 different editions
Also available
Statistical Foundations of Actuarial Learning and Its Applications
Wüthrich, Mario V.
Merz, Michael
Hardcover
Also from
Wüthrich, Mario V.
Statistical Foundations of Actuarial Learning and Its Applications
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Merz, Michael
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Merz, Michael
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Financial Modeling, Actuarial Valuation and Solvency in Insurance
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Merz, Michael
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