Skip to content

IAI Actuarial Core Principles · Actuarial Statistics · Credibility theory: Bayesian and empirical Bayes credibility premiums

Claim counts for a policyholder in one year are Poisson with mean λ. The prior for λ is Gamma with shape α = 3 and rate β = 6. The policyholder makes 4 claims in 2 years. What is the posterior mean of λ?

The posterior is Gamma with shape 3+4=7 and rate 6+2=8, so the posterior mean is 7/8 = 0.875. The prior parameters are updated by adding total claims to the shape and the number of years to the rate.

  1. A0.500
  2. B0.875Correct
  3. C0.700
  4. D0.438
  5. 0.625

Explanation

Poisson-Gamma conjugacy: posterior shape = 3 + 4 = 7 and posterior rate = 6 + 2 = 8. The posterior mean is 7/8 = 0.875. The prior mean 0.5 ignores the data, and 7/16 = 0.438 wrongly adds 2 to the rate twice.

Did you get it right without looking?

One question tells you little. A timed set on Credibility theory: Bayesian and empirical Bayes credibility premiums shows your real accuracy, how long you take and where you lose marks.

More Credibility theory: Bayesian and empirical Bayes credibility premiums questions