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Credibility Theory Cheat Sheet
Buhlmann, Buhlmann-Straub, classical credibility, and empirical Bayes formulas.
Classical (Limited Fluctuation) Credibility
- Full credibility standard: n_0 = (z_(alpha/2) / k)^2 * (sigma^2 / mu^2) for full credibility at level k
- Partial credibility: Z = sqrt(n / n_0)
- Credibility premium: P = Z * X-bar + (1 - Z) * M
Buhlmann Credibility
- Credibility factor: Z = n / (n + k) where k = v / a
- v (expected value of process variance): v = E[Var(X|Theta)]
- a (variance of hypothetical means): a = Var(E[X|Theta])
- Buhlmann premium: P = Z * X-bar + (1-Z) * mu
- mu (overall mean): mu = E[E[X|Theta]] = E[X]
Buhlmann-Straub
- Z_i = m_i / (m_i + k) where m_i is the exposure for risk i
- k = v / a (same as Buhlmann, but exposure-weighted)
- Credibility-weighted overall mean: X-bar-bar = sum(Z_i * X-bar_i) / sum(Z_i)
Conjugate Prior Families
| Likelihood | Prior | Posterior |
|---|---|---|
| Poisson(lambda) | Gamma(alpha, beta) | Gamma(alpha + sum x_i, beta + n) |
| Binomial(n, p) | Beta(a, b) | Beta(a + sum x_i, b + sum(n_i - x_i)) |
| Normal(mu, sigma^2) | Normal(mu_0, sigma_0^2) | Normal(weighted mean, combined precision) |
| Exponential(theta) | Gamma(alpha, beta) | Gamma(alpha + n, beta + sum x_i) |
Put these formulas to work
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