Performance analysis of hypothesis testing for sparse pairwise interaction point processes

نویسندگان

  • John A. Gubner
  • Wei-Bin Chang
  • Majeed M. Hayat
چکیده

The sufficient statistic for performing the likelihood ratio test for pairwise interaction point processes is well-known; however, the evaluation of its performance is a very difficult problem. In this paper it is shown that the distribution of the sufficient statistic can be approximated by the distribution of a Poisson-driven shot-noise random variable, which can be readily computed.

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عنوان ژورنال:
  • IEEE Trans. Information Theory

دوره 46  شماره 

صفحات  -

تاریخ انتشار 2000