Pages that link to "Item:Q988946"
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The following pages link to A cross-validation based estimation of the proportion of true null hypotheses (Q988946):
Displaying 17 items.
- Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses (Q142489) (← links)
- Segmentation of the mean of heteroscedastic data via cross-validation (Q637994) (← links)
- Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing (Q847630) (← links)
- Dynamic adaptive multiple tests with finite sample FDR control (Q900753) (← links)
- Estimating the proportion of true null hypotheses in multiple testing problems (Q1658053) (← links)
- Estimation of the proportion of true null hypotheses in high-dimensional data under dependence (Q1658319) (← links)
- A parametric model to estimate the proportion from true null using a distribution for \(p\)-values (Q1658359) (← links)
- Adaptive estimation of the sparsity in the Gaussian vector model (Q1731745) (← links)
- Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach (Q2189123) (← links)
- Adaptive nonparametric estimation of a component density in a two-class mixture model (Q2242876) (← links)
- Semiparametric two-sample admixture components comparison test: the symmetric case (Q2242883) (← links)
- False discovery rate control of step-up-down tests with special emphasis on the asymptotically optimal rejection curve (Q2911723) (← links)
- On Efficient Estimators of the Proportion of True Null Hypotheses in a Multiple Testing Setup (Q2932781) (← links)
- Estimating the proportion of true null hypotheses with application in microarray data (Q5055123) (← links)
- Estimating the proportion of true null hypotheses using the pattern of observed<i>p</i>-values (Q5129086) (← links)
- Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data (Q5473054) (← links)
- Two-sample contamination model test (Q6178555) (← links)
