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Actuarial Modelling of Claim Counts Risk Classification, Credibility ...

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184 <strong>Actuarial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>Claim</strong> <strong>Counts</strong><br />

random events. Specifically, given two random variables X and Y , d TV X Y can be<br />

represented as<br />

∣<br />

d TV X Y = 2 sup ∣ PrX ∈ A − PrY ∈ A∣ (4.11)<br />

A<br />

Selection <strong>of</strong> the Initial Level<br />

The main objective <strong>of</strong> a bonus-malus system is to correct the inadequacies <strong>of</strong> a priori rating<br />

by separating the good from the bad drivers. This separation process should proceed as fast<br />

as possible; the time needed to achieve this operation is the time needed to reach stationarity.<br />

A convenient way to select the initial level has been suggested by Bonsdorff (1992). The<br />

idea is to select it in order to minimize the time needed to reach stationarity. It relies on<br />

the total variation distance d TV between the nth transient distribution starting from level l 1 ,<br />

i.e. p n<br />

l 1 l 2<br />

l 2 = 0 1s, and the stationary distribution l2<br />

l 2 = 0 1s,<br />

computed as<br />

d TV l 1 n=<br />

s∑<br />

l 2 =0<br />

p n<br />

l 1 l 2<br />

− l2<br />

<br />

it measures the degree <strong>of</strong> convergence <strong>of</strong> the system after n transitions. Of course,<br />

lim<br />

n→+ d TV l 1 n= 0 for all l 1 and <br />

The convergence to is essentially controlled by the second largest eigenvalue 1 .<br />

For any > 1 , there exists an a

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