Pages that link to "Item:Q2920274"

The following pages link to Large-scale multiple testing under dependence (Q2920274):

Displaying 50 items.

• False discovery rate envelopes (Q89206) (← links)
• Kernel Knockoffs Selection for Nonparametric Additive Models (Q115586) (← links)
• False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation (Q139626) (← links)
• Smaller $p$-values via indirect information (Q141438) (← links)
• Accounting for time dependence in large-scale multiple testing of event-related potential data (Q141875) (← links)
• Detecting weak signals in high dimensions (Q272081) (← links)
• Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model (Q311793) (← links)
• A new approach to multiple testing of grouped hypotheses (Q334304) (← links)
• Statistical tests for the intersection of independent lists of genes: sensitivity, FDR, and type I error control (Q439138) (← links)
• Asymptotic optimality of the Westfall-Young permutation procedure for multiple testing under dependence (Q450006) (← links)
• Simultaneous critical values for \(t\)-tests in very high dimensions (Q637106) (← links)
• Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency (Q693245) (← links)
• Hidden Markov models with mixtures as emission distributions (Q892798) (← links)
• Capturing the severity of type II errors in high-dimensional multiple testing (Q893171) (← links)
• Testing and support recovery of multiple high-dimensional covariance matrices with false discovery rate control (Q1694484) (← links)
• A peeling algorithm for multiple testing on a random field (Q1695540) (← links)
• Non-marginal decisions: a novel Bayesian multiple testing procedure (Q1722066) (← links)
• A new perspective on robust \(M\)-estimation: finite sample theory and applications to dependence-adjusted multiple testing (Q1800789) (← links)
• Distributions associated with simultaneous multiple hypothesis testing (Q2040901) (← links)
• Wavelet-based Benjamini-Hochberg procedures for multiple testing under dependence (Q2045650) (← links)
• Semi-supervised multiple testing (Q2084464) (← links)
• Automated and distributed statistical analysis of economic agent-based models (Q2097979) (← links)
• FWER goes to zero for correlated normal (Q2105368) (← links)
• Local false discovery rate based methods for multiple testing of one-way classified hypotheses (Q2106790) (← links)
• Conditional calibration for false discovery rate control under dependence (Q2112799) (← links)
• Where to find needles in a haystack? (Q2125478) (← links)
• False discovery rate control with unknown null distribution: is it possible to mimic the oracle? (Q2131267) (← links)
• Empirical Bayes cumulative \(\ell\)-value multiple testing procedure for sparse sequences (Q2137788) (← links)
• Powerful multiple testing of paired null hypotheses using a latent graph model (Q2137816) (← links)
• On spike and slab empirical Bayes multiple testing (Q2215749) (← links)
• Effect-size estimation using semiparametric hierarchical mixture models in disease-association studies with neuroimaging data (Q2229317) (← links)
• Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification (Q2230874) (← links)
• False discovery variance reduction in large scale simultaneous hypothesis tests (Q2241618) (← links)
• A double application of the Benjamini-Hochberg procedure for testing batched hypotheses (Q2397957) (← links)
• Optimal detection of weak positive latent dependence between two sequences of multiple tests (Q2401361) (← links)
• Bayesian hidden Markov models for dependent large-scale multiple testing (Q2416747) (← links)
• Effects of statistical dependence on multiple testing under a hidden Markov model (Q2429937) (← links)
• An empirical Bayes testing procedure for detecting variants in analysis of next generation sequencing data (Q2441858) (← links)
• Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models (Q2666069) (← links)
• Multiple testing for neuroimaging via hidden Markov random field (Q2803494) (← links)
• Mixed directional false discovery rate control in multiple pairwise comparisons using weighted<i>p</i>-values (Q2938312) (← links)
• A general framework for multiple testing dependence (Q2962172) (← links)
• A hidden Markov random field model for genome-wide association studies (Q3303592) (← links)
• Changepoint estimation: another look at multiple testing problems (Q3459448) (← links)
• Large sample theory for a multivariate structural relationship with replication (Q3685013) (← links)
• False Discovery Rate Smoothing (Q4559697) (← links)
• On the Null Distribution of Bayes Factors in Linear Regression (Q4559714) (← links)
• Estimating false discovery proportion in multiple comparison under dependency (Q4607329) (← links)
• Estimating False Discovery Proportion Under Arbitrary Covariance Dependence (Q4648544) (← links)
• Integrating Prior Knowledge in Multiple Testing under Dependence with Applications to Detecting Differential DNA Methylation (Q4649054) (← links)