• Title: Statistical Foundations of Actuarial Learning and its Applications
• Author(s) Mario V. Wüthrich, Michael Merz
• Publisher: Springer; 1st ed. 2023 edition (November 23, 2022); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Paperback: 617
• eBook: PDF and ePub
• Language: English
• ASIN/ISBN-10: 3031124081
• ISBN-13: 978-3031124082
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Book Description

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 statistical concepts and how they can be applied in daily actuarial practice.

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.

• Mario Wüthrich is Professor in the Department of Mathematics at ETH Zurich, Honorary Visiting Professor at City, University of London.

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• Financial Mathematics and Engineering, Financial Technologies
• Statistics, R Language and SAS Programming
• Probability and Stochastic Processes
• Applied Mathematics

• Statistical Foundations of Actuarial Learning and its Applications (Mario V. Wüthrich, et al.)
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