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  • 标题:Signature inversion for monotone paths
  • 本地全文:下载
  • 作者:Jiawei Chang ; Nick Duffield ; Hao Ni
  • 期刊名称:Electronic Communications in Probability
  • 印刷版ISSN:1083-589X
  • 出版年度:2017
  • 卷号:22
  • DOI:10.1214/17-ECP70
  • 语种:English
  • 出版社:Electronic Communications in Probability
  • 摘要:The aim of this article is to provide a simple sampling procedure to reconstruct any monotone path from its signature. For every $N$, we sample a lattice path of $N$ steps with weights given by the coefficient of the corresponding word in the signature. We show that these weights on lattice paths satisfy the large deviations principle. In particular, this implies that the probability of picking up a “wrong” path is exponentially small in $N$. The argument relies on a probabilistic interpretation of the signature for monotone paths.
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