Claim Models: Granular Forms and Machine Learning Forms

Claim Models: Granular Forms and Machine Learning Forms

This collection of articles addresses the most modern forms of loss reserving methodology: granular models and machine learning models. New methodologies come with questions about their applicability. These questions are discussed in one article, which focuses on the relative merits of granular and...

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Bibliographic Details
Main Author: Taylor, Greg (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
n/a
granular models
neural networks
actuarial
payments per claim incurred
risk pricing
machine learning
claim watching
loss reserving
gradient boosting
predictive modeling
classification and regression trees
individual models
individual claims reserving
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