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Catalogue Information
Field name	Details
Dewey Class	368.01
Title	Statistical Foundations of Actuarial Learning and its Applications (EBook /) / by Mario V. Wüthrich, Michael Merz.
Author	Wüthrich, Mario V.
Added Personal Name	Merz, Michael
Other name(s)	SpringerLink (Online service)
Edition statement	1st ed. 2023.
Publication	Cham : : Springer International Publishing : : Imprint: Springer, , 2023.
Physical Details	XII, 605 p. 1 illus. : online resource.
Series	Springer Actuarial 2523-3270
ISBN	9783031124099
Summary Note	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. 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.:
Mode of acces to digital resource	Digital reproduction.-
	Cham :
	Springer International Publishing,
	2023. -
	Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	https://doi.org/10.1007/978-3-031-12409-9
Links to Related Works	Subject References: Actuarial Mathematics . Actuarial science . Artificial intelligence . Data Science . Machine Learning . Mathematics in Business, Economics and Finance . Social sciences . Statistics . Statistics in Business, Management, Economics, Finance, Insurance . Authors: author . Merz, Michael . Wüthrich, Mario V. . Corporate Authors: SpringerLink (Online service) . Series: Springer Actuarial . Classification: 368.01 .

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Statistical Foundations of Actuarial Learning and its Applications

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