首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Large deviations for exchangeable observations with applications
  • 本地全文:下载
  • 作者:Jinwen Chen
  • 期刊名称:International Journal of Mathematics and Mathematical Sciences
  • 印刷版ISSN:0161-1712
  • 电子版ISSN:1687-0425
  • 出版年度:2004
  • 卷号:2004
  • DOI:10.1155/S0161171204301444
  • 出版社:Hindawi Publishing Corporation
  • 摘要:We first prove some large deviation results for a mixture of i.i.d. random variables. Compared with most of the known results in the literature, our results are built on relaxing some restrictive conditions that may not be easy to be checked in certain typical cases. The main feature in our main results is that we require little knowledge of (continuity of) the component measures and/or of the compactness of the support of the mixing measure. Instead, we pose certain moment conditions, which may be more practical in applications. We then use the large deviation approach to study the problem of estimating the component and the mixing measures.
国家哲学社会科学文献中心版权所有