Actuarial Notes

Nonhomogeneous Poisson Process

Study guide: Exam MAS-I

A Nonhomogeneous Poisson Process (NHPP) is a Poisson Process whose rate changes with time: events arrive at intensity \lambda(t) rather than at a constant \lambda. Counts over an interval are still Poisson, but the mean is the integrated rate over that interval.

m(t) = \int_0^{t} \lambda(u)\,du

N(b) - N(a) \sim \text{Poi}\!\left(\int_a^b \lambda(u)\,du\right)

  • Independent increments still hold, but stationary increments do not: two intervals of the same length can have different expected counts (their counts share a distribution only when the integrated rates over them are equal)
  • m(t) is called the mean value function; E[N(t)] = \text{Var}(N(t)) = m(t)
  • When \lambda(t) > 0, so that m is strictly increasing, an NHPP becomes a rate-1 homogeneous process under the time change s = m(t) — this is what makes seasonal or trending claim arrivals tractable
  • Thinning a homogeneous process with a time-varying probability p(t) produces an NHPP with rate \lambda p(t); conversely, splitting an NHPP by event type gives independent NHPPs
  • Actuarial uses: hurricane arrivals concentrated in one season, claim reporting patterns that decay after the accident date, and exposure growth over a policy year
  • The waiting time to the first event has survival function P(T_1 > t) = e^{-m(t)}, so the Hazard Rate of T_1 is exactly \lambda(t)

Expected Claims Under a Seasonal Rate Claims arrive as an NHPP with \lambda(t) = 3 + 2t per month, where t is measured in months from the start of the year. Find the expected number of claims in the first four months and the probability of no claims in month 1.

Answer m(4) = \int_0^4 (3 + 2u)\,du = \left[3u + u^2\right]_0^4 = 12 + 16 = 28 So N(4) \sim \text{Poi}(28) and E[N(4)] = 28. For month 1, the integrated rate is \int_0^1 (3+2u)\,du = 3 + 1 = 4, so P(N(1) = 0) = e^{-4} \approx 0.0183

Counts on a Later Interval With the same rate \lambda(t) = 3 + 2t, find the distribution of the number of claims between t = 4 and t = 6.

Answer \int_4^6 (3 + 2u)\,du = \left[3u + u^2\right]_4^6 = (18 + 36) - (12 + 16) = 26 The count is \text{Poi}(26): 26/2 = 13 expected claims per month on (4, 6], against 28/4 = 7 per month on (0, 4], because the rate is rising. Note this is a two-month window carrying nearly the same expected count as the first four months combined.