方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 可信度理论× | 极值理论 (EVT)× | |
|---|---|---|
| 领域≠ | 精算学 | 金融学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1967 | 2001 |
| 提出者≠ | Hans Bühlmann | Coles (textbook treatment); McNeil, Frey & Embrechts |
| 类型≠ | Weighted linear blend of individual and collective experience | Tail / extreme-event model |
| 开创性文献≠ | Bühlmann, H. (1967). Experience rating and credibility. ASTIN Bulletin, 4(3), 199–207. DOI ↗ | Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598 |
| 别名≠ | Bühlmann Credibility, Experience Rating, Linear Credibility Estimator, Güvenilirlik Teorisi | EVT, generalized extreme value, generalized Pareto distribution, peaks over threshold |
| 相关≠ | 3 | 5 |
| 摘要≠ | Credibility Theory is an actuarial framework for estimating the pure premium of an individual risk by blending its own observed loss experience with the collective (portfolio) mean. Introduced by Hans Bühlmann in 1967, the method derives the optimal linear combination—the credibility-weighted premium—that minimises mean squared error. It extends classical experience rating to a rigorous statistical footing rooted in Bayesian and linear estimation principles. | Extreme Value Theory is a statistical framework for modelling the rare events that live in the tail of a probability distribution. As developed in Coles (2001) and applied to risk by McNeil, Frey & Embrechts (2005), it offers two standard routes: the Generalized Extreme Value (GEV) distribution for block maxima and the Generalized Pareto Distribution (GPD), used in the peaks-over-threshold approach, for exceedances above a high threshold. |
| ScholarGate数据集 ↗ |
|
|