
About this book series
This subseries of Springer Actuarial includes books with the character of lecture notes. Typically these are research monographs on new, cutting-edge developments in actuarial science; sometimes they may be a glimpse of a new field of research activity, or presentations of a new angle in a more classical field.
In the established tradition of Lecture Notes, the timeliness of a manuscript can be more important than its form, which may be informal, preliminary or tentative.
- Part of this series
- Springer Actuarial
- Electronic ISSN
- 2523-3297
- Print ISSN
- 2523-3289
- Editor-in-Chief
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- Hansjoerg Albrecher,
- Michael Sherris
- Series Editor
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- Daniel Bauer,
- Stéphane Loisel,
- Alexander J. McNeil,
- Antoon Pelsser,
- Gordon Willmot,
- Hailiang Yang
Book titles in this series
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Effective Statistical Learning Methods for Actuaries III
Neural Networks and Extensions
- Authors:
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- Michel Denuit
- Donatien Hainaut
- Julien Trufin
- Copyright: 2019
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Effective Statistical Learning Methods for Actuaries I
GLMs and Extensions
- Authors:
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- Michel Denuit
- Donatien Hainaut
- Julien Trufin
- Copyright: 2019
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