Opportunistic Detection Under a Fixed-Sample-Size Setting

@article{Zhang2013OpportunisticDU,
  title={Opportunistic Detection Under a Fixed-Sample-Size Setting},
  author={Wenyi Zhang and H. Vincent Poor},
  journal={IEEE Transactions on Information Theory},
  year={2013},
  volume={59},
  pages={1107-1114}
}
With a finite number of samples drawn from one of two possible distributions sequentially revealed, an opportunistic detection rule is proposed, which possibly makes an early decision in favor of the alternative hypothesis, while always deferring the decision of the null hypothesis until collecting all the samples. Properties of this opportunistic detection rule are discussed and its key asymptotic behavior in the large sample size limit is established. Specifically, a Chernoff-Stein lemma type… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 11 references

Quickest Detection

  • H. V. Poor, O. Hadjiliadis
  • Cambridge, U.K.: Cambridge Univ. Press
  • 2009

An Introduction to Probability Theory and Its Applications

  • W. Feller
  • 2nd ed. New York: Wiley
  • 1971

Great Expectations: The Theory of Optimal Stopping

  • Y. S. Chow, H. Robbins, D. Siegmund
  • Boston, MA: Houghton Mifflin
  • 1971

Large-sample theory: Parametric case,

  • H. Chernoff
  • Ann. Math. Statist., vol. 27,
  • 1956
1 Excerpt

A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations,

  • H. Chernoff
  • Ann. Math. Statist., vol. 23,
  • 1952
1 Excerpt

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