ChangepointTesting: Change Point Estimation for Clustered Signals
A multiple testing procedure for clustered alternative hypotheses. It is assumed that the p-values under the null hypotheses follow U(0,1) and that the distributions of p-values from the alternative hypotheses are stochastically smaller than U(0,1). By aggregating information, this method is more sensitive to detecting signals of low magnitude than standard methods. Additionally, sporadic small p-values appearing within a null hypotheses sequence are avoided by averaging on the neighboring p-values.
||graphics, methods, stats
||Hongyuan Cao, Wei Biao Wu, and Shannon T. Holloway
||Shannon T. Holloway <sthollow at ncsu.edu>
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