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Parameter risk in a multiplicative claim model

Publication at Faculty of Mathematics and Physics |
2009

Abstract

The parameter risk in probabilistic risk theory models is represented by the estimation error of parameters which can be hardly distinguished from changes of risk situation. Two ways of modeling this type of risk are bayesian approach and bootstrap.

Poisson distribution is an appropriate tool to explain the problem.