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EXISTENCE AND UNIQUENESS OF CHAIN LADDER SOLUTIONS

机译:链梯解决方案的存在性和唯一性

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摘要

The cross-classified chain ladder has a number of versions, depending on the distribution to which observations are subject. The simplest case is that of Poisson distributed observations, and then maximumlikelihood estimates of parameters are explicit. Most other cases, however, including Bayesian chain ladder models, lead to implicit MAP (Bayesian) or MLE (non-Bayesian) solutions for these parameter estimates, raising questions as to their existence and uniqueness. The present paper investigates these questions in the case where observations are distributed according to some member of the exponential dispersion family.
机译:交叉分类的链梯具有多种版本,具体取决于观察对象的分布。最简单的情况是泊松分布观测值,然后显式地确定参数的最大似然估计。但是,大多数其他情况,包括贝叶斯链梯模型,都导致针对这些参数估计值的隐式MAP(贝叶斯)或MLE(非贝叶斯)解决方案,从而引发了有关其存在性和唯一性的问题。本文在根据指数色散族的某些成员分布观测值的情况下研究这些问题。

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