Author:
Aebi M.,Embrechts P.,Mikosch T.
Abstract
Obtaining good estimates for the distribution function of random variables like (‘perpetuity’) and (‘aggregate claim amount’), where the (Yi), (Zi) are independent i.i.d. sequences and (N(t)) is a general point process, is a key question in insurance mathematics. In this paper, we show how suitably chosen metrics provide a theoretical justification for bootstrap estimation in these cases. In the perpetuity case, we also give a detailed discussion of how the method works in practice.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Statistics and Probability
Reference31 articles.
1. Modeling the effect of erosion on crop production
2. On the rate of convergence of some functionals of a stochastic process
3. Rachev S. T. and Samorodnitsky G. (1991) Limit laws for a stochastic process and random recursion arising in probabilistic modelling. Preprint.
4. Rachev S. T. and Rüschendorf L. (1991) Probability metrics and recursive algorithms. Preprint.
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Uniform contraction of a stochastic integral in strategic operations;Journal of Interdisciplinary Mathematics;2020-04-02
2. On a family of risk measures based on largest claims;Insurance: Mathematics and Economics;2019-05
3. Convergence of the population dynamics algorithm in the Wasserstein metric;Electronic Journal of Probability;2019-01-01
4. Nonparametric Statistics;Wiley StatsRef: Statistics Reference Online;2014-12
5. Estimation of Actuarial Quantities;Wiley StatsRef: Statistics Reference Online;2014-09-29