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The multiple hypothesis test correction in this case is a Bonferroni correction [16].
The most restrictive multiple hypothesis test correction is the Bonferroni correction.
Differently than in [10] we fix the univariate statistical threshold θ first and then perform a multiple hypothesis test correction.
We have used a multiple hypothesis test correction needed to avoid false positive in the statistical validation of networks [11].
To avoid to be extremely restrictive, in this study we use the false discovery rate (FDR) [17] as multiple hypothesis test correction.
Let us write the anomaly detection problem as the following multiple hypothesis test: ℋ 0 i : ∥ f i ∗ − f ∥ ≤ τ for some f ∈ D (15a).
Similar(38)
The Benjamini-Hochberg procedure was used to correct for multiple hypothesis testing.
p values are adjusted for multiple hypothesis tests using Holm's method (Holm 1979).
In the following, we omit the steps under multiple hypothesis testing for clarity.
All p-values reported are unadjusted for multiple hypothesis testing.
In Multiple Hypothesis Testing, prognostic group labels are randomly permuted.
Related(13)
multiple experiment test
multiple hypothesis tested
multiple hypothesis tests
multiple hypothesis testings
multiple regression test
multiple hypothesis testing
multiple range test
multiple hypothesis comparison
multiple hypothesis anchoring
multiple hypothesis correction
multiple comparison test
multiple choice test
multiple hypothesis tracking
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