Pages that link to "Item:Q2932781"
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The following pages link to On Efficient Estimators of the Proportion of True Null Hypotheses in a Multiple Testing Setup (Q2932781):
Displaying 25 items.
- Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses (Q142489) (← links)
- Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing (Q847630) (← links)
- Estimating the number of true null hypotheses in multiple hypothesis testing (Q892486) (← links)
- A class of multiple sample tests based on empirical coverages (Q912533) (← links)
- Estimating the proportion of true null hypotheses in multiple testing problems (Q1658053) (← links)
- A parametric model to estimate the proportion from true null using a distribution for \(p\)-values (Q1658359) (← links)
- Identifiability of the proportion of null hypotheses in skew-mixture models for the \(p\)-value distribution (Q1952188) (← links)
- Estimation for a class of semiparametric Pareto mixture densities (Q2082338) (← links)
- False discovery rate control with unknown null distribution: is it possible to mimic the oracle? (Q2131267) (← 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)
- Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue-Stieltjes integral equations (Q2274975) (← links)
- Semiparametric density testing in the contamination model (Q2283565) (← links)
- An overview of semiparametric extensions of finite mixture models (Q2292392) (← links)
- A powerful truncated tail strength method for testing multiple null hypotheses in one dataset (Q2413870) (← links)
- A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion (Q3597112) (← links)
- On the estimation of the proportion of positives in a sequence of screening experiments (Q4883615) (← links)
- Comments on Dr. Aniket Biswas' Letter to the Editor (Q4998838) (← links)
- Estimating the proportion of true null hypotheses with application in microarray data (Q5055123) (← links)
- Resampling‐Based Empirical Bayes Multiple Testing Procedures for Controlling Generalized Tail Probability and Expected Value Error Rates: Focus on the False Discovery Rate and Simulation Study (Q5123108) (← links)
- Nonparametric estimation of the density of the alternative hypothesis in a multiple testing setup. Application to local false discovery rate estimation (Q5174371) (← links)
- Empirical Bayes and Resampling Based Multiple Testing Procedure Controlling Tail Probability of the Proportion of False Positives. (Q5700542) (← links)
- Two-Component Mixture Model in the Presence of Covariates (Q6110703) (← links)
- Two-sample contamination model test (Q6178555) (← links)
