منابع مشابه
Measuring sensitivity in a bonus–malus system
In performing Bayesian analysis of a bonus–malus system (BMS) it is normal to choose a parametric structure, π0(λ), in the insurer’s portfolio. According to Bayesian sensitivity analysis the structure function can be modelled by specifying a class Γ of priors instead of a single prior. In this paper, we examine the ranges of the relativities, i.e. δ = E[λπ(λ|data)]/E[λπ(λ)], π ∈ Γ . We illustra...
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This paper focuses on techniques for constructing Bonus-Malus systems in third party liability automobile insurance. Specifically, the article presents a practical method for constructing optimal Bonus-Malus scales with reasonable penalties that can be commercially implemented. For this purpose, the symmetry between the overcharges and the undercharges reflected in the usual quadratic loss func...
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In an earlier paper, we showed that, in a multi-period setting (but with no multi-period commitment) with two client types (adverse selection) and a competitive insurer environment, a comparasin between periodic repetitions of the classic Rothschild-Stiglitz separating equilibrium contract menu and a second contract based on Bayesian learning (which we identify as a bonus-malus contract) yields...
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This paper examines an integrated ratemaking scheme including a priori risk classification and a posteriori experience rating. In order to avoid the high penalties implied by the quadratic loss function, the symmetry between the overcharges and the undercharges is broken by introducing parametric loss functions of exponential type.
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Clinical responses to anti-tumor monoclonal antibody (mAb) treatment have been regarded for many years only as a consequence of the ability of mAbs to destroy tumor cells by innate immune effector mechanisms. More recently, it has also been shown that anti-tumor antibodies can induce a long-lasting anti-tumor adaptive immunity, likely responsible for durable clinical responses, a phenomenon tha...
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ژورنال
عنوان ژورنال: ASTIN Bulletin
سال: 1963
ISSN: 0515-0361,1783-1350
DOI: 10.1017/s0515036100007807