Pages that link to "Item:Q2497176"
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The following pages link to Adapting to unknown sparsity by controlling the false discovery rate (Q2497176):
Displaying 50 items.
- Innovated higher criticism for detecting sparse signals in correlated noise (Q90256) (← links)
- False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation (Q139626) (← links)
- Consistent variable selection for functional regression models (Q268728) (← links)
- SLOPE is adaptive to unknown sparsity and asymptotically minimax (Q292875) (← links)
- Functional mixed effects wavelet estimation for spectra of replicated time series (Q315394) (← links)
- Estimation of matrices with row sparsity (Q327303) (← links)
- A nonparametric empirical Bayes approach to adaptive minimax estimation (Q391864) (← links)
- Feature selection when there are many influential features (Q396025) (← links)
- On the Benjamini-Hochberg method (Q449951) (← links)
- UPS delivers optimal phase diagram in high-dimensional variable selection (Q450021) (← links)
- Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector (Q470502) (← links)
- Nonparametric significance testing and group variable selection (Q476217) (← links)
- Exponential screening and optimal rates of sparse estimation (Q548534) (← links)
- Segmentation of the mean of heteroscedastic data via cross-validation (Q637994) (← links)
- Asymptotic Bayes-optimality under sparsity of some multiple testing procedures (Q638803) (← links)
- On oracle inequalities related to data-driven hard thresholding (Q718892) (← links)
- On optimality of the Benjamini-Hochberg procedure for the false discovery rate (Q730705) (← links)
- Optimal rates of convergence for sparse covariance matrix estimation (Q741791) (← links)
- On false discovery rate thresholding for classification under sparsity (Q741797) (← links)
- From local kernel to nonlocal multiple-model image denoising (Q847522) (← links)
- Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing (Q847630) (← links)
- Nonlinear estimation over weak Besov spaces and minimax Bayes (Q850765) (← links)
- Thresholding procedure with priors based on Pareto distributions (Q882929) (← links)
- Bayesian linear regression with sparse priors (Q888501) (← links)
- Comment: ``Microarrays, empirical Bayes and the two-groups model'' (Q900481) (← links)
- SLOPE-adaptive variable selection via convex optimization (Q902886) (← links)
- On control of the false discovery rate under no assumption of dependency (Q935450) (← links)
- An empirical Bayes mixture method for effect size and false discovery rate estimation (Q977646) (← links)
- SPADES and mixture models (Q988014) (← links)
- Covariance regularization by thresholding (Q1000302) (← links)
- A universal procedure for aggregating estimators (Q1002171) (← links)
- A simple forward selection procedure based on false discovery rate control (Q1018611) (← links)
- Control of the false discovery rate under dependence using the bootstrap and subsampling (Q1019475) (← links)
- On the false discovery rate and an asymptotically optimal rejection curve (Q1020971) (← links)
- An adaptive step-down procedure with proven FDR control under independence (Q1020972) (← links)
- Gaussian model selection with an unknown variance (Q1020973) (← links)
- Thresholding rules for recovering a sparse signal from microarray experiments (Q1602575) (← links)
- Consistent change-point detection with kernels (Q1711585) (← links)
- A multiple testing approach to the regularisation of large sample correlation matrices (Q1739875) (← links)
- An adaptation theory for nonparametric confidence intervals (Q1766118) (← links)
- General empirical Bayes wavelet methods and exactly adaptive minimax estimation (Q1781152) (← links)
- Variable selection with Hamming loss (Q1800786) (← links)
- Some results on false discovery rate in stepwise multiple testing procedures. (Q1848937) (← links)
- Higher criticism for detecting sparse heterogeneous mixtures. (Q1879927) (← links)
- A stochastic process approach to false discovery control. (Q1879929) (← links)
- Least angle regression. (With discussion) (Q1879940) (← links)
- Minimax estimation of linear functionals over nonconvex parameter spaces. (Q1879943) (← links)
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences (Q1879967) (← links)
- FDR-controlling stepwise procedures and their false negatives rates (Q1888887) (← links)
- Needles and straw in a haystack: posterior concentration for possibly sparse sequences (Q1940767) (← links)
