Bootstrap based sequential probability ratio tests

Abstract

We present a generalized sequential probability ratio test for composite hypotheses wherein the thresholds are updated in an adaptive manner based on the data recorded up to the current sample using the parametric bootstrap. The resulting test avoids the asymptotic assumption usually made in earlier works. The increase of the average sample number of the… (More)
DOI: 10.1109/ICASSP.2013.6638888

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