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About 2023-Data Analytics For Non-Life Insurance Pricing
This document provides lecture notes on using data analytics and machine learning methods for pricing non-life insurance. It begins with an introduction to non-life insurance pricing and the compound Poisson model. It then discusses maximum likelihood estimation for the homogeneous case and the Poisson deviance loss. The document concludes by explaining different methods for evaluating prediction uncertainty, including generalization loss, cross-validation on test samples, leave-one-out cross-validation, and k-fold cross-validation. The overall goal is to educate practitioners, academics and students on applying machine learning to statistical learning problems in actuarial science.
Detailed Information
| Author: | ['Ibrahim Khatatbeh'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 240 |
| Language: | English |
| Format: | |
| Price: | FREE |
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