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 thatmis strictly increasing, an NHPP becomes a rate-1homogeneous process under the time changes = 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 ofT_1is exactly\lambda(t)
Expected Claims Under a Seasonal Rate Claims arrive as an NHPP with
\lambda(t) = 3 + 2tper month, wheretis 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 = 28SoN(4) \sim \text{Poi}(28)andE[N(4)] = 28. For month 1, the integrated rate is\int_0^1 (3+2u)\,du = 3 + 1 = 4, soP(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 betweent = 4andt = 6.Answer
\int_4^6 (3 + 2u)\,du = \left[3u + u^2\right]_4^6 = (18 + 36) - (12 + 16) = 26The count is\text{Poi}(26):26/2 = 13expected claims per month on(4, 6], against28/4 = 7per 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.