首页    期刊浏览 2025年07月14日 星期一
登录注册

文章基本信息

  • 标题:How sharp are classical approximations for statistical applications?
  • 本地全文:下载
  • 作者:Jean-Marc Azaïs ; Stéphane Mourareau
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2019
  • 卷号:XVI
  • 期号:1
  • 页码:711-728
  • DOI:10.30757/ALEA.v16-25
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:This paper aims at comparing theoretical approximations of the tailof the maximum of stochastic processes and the corresponding numerical evaluations.More particularly, we focus on the Pickands or double sum method, the Ricemethod, the Euler Characteristic method and a new one called the Poisson method.The numerical evaluation, performed using mainly Quasi Monte-Carlo integrationand adaptations of the programs of Genz, show the domains of validity of eachmethod.
  • 关键词:Gaussian Process; Kac;Rice formula; Pickands method; Euler characteristic;method;
国家哲学社会科学文献中心版权所有