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  • 标题:A Practical Inference for Discretely Observed Jump-diffusions from Finite Samples
  • 本地全文:下载
  • 作者:Yasutaka Shimizu
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2008
  • 卷号:38
  • 期号:3
  • 页码:391-413
  • DOI:10.14490/jjss.38.391
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:In the inference for jump-diffusion processes, we often need to get the information of the jump part and of the continuous part separately from the data. Although some asymptotic theories have been studied on this issue, a practical interest is the inference from finitely many discrete samples. In this paper we propose a numerical procedure to construct a filter to judge whether or not a jump occurred from finite samples. The paper includes a discussion about the validity of the procedure.
  • 关键词:Finite samples;Jump-diffusions;jump-discriminant filter;mathematical validity;plug-in method;threshold selection
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