Insurance, Biases, Discrimination and Fairness
This book offers an introduction to the technical foundations of discrimination and equity issues in insurance models, catering to undergraduates, postgraduates, and practitioners. It is a self-contained resource, accessible to those with a basic understanding of probability and statistics. Designed...
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| Format: | eBook |
| Language: | English |
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Cham
Springer Nature Switzerland
2024, 2024
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| Edition: | 1st ed. 2024 |
| Series: | Springer Actuarial
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Part I Insurance and Predictive Modeling
- Fundamentals of Actuarial Pricing
- Models: Overview on Predictive Models
- Models: Interpretability, Accuracy and Calibration
- Part II Data
- What Data?
- Some Examples of Discrimination
- Observations or Experiments: Data in Insurance
- Part III Fairness
- Group Fairness
- Individual Fairness
- Part IV Mitigation
- Pre-processing
- In-processing
- Post-processing