Pages that link to "Item:Q5254721"

The following pages link to Empirical Bayes Estimates for Large-Scale Prediction Problems (Q5254721):

Displaying 44 items.

• Hunting for significance: Bayesian classifiers under a mixture loss function (Q460651) (← links)
• A nonparametric empirical Bayes approach to large-scale multivariate regression (Q830438) (← links)
• A weighted empirical Bayes risk prediction model using multiple traits (Q830640) (← links)
• The future of indirect evidence (Q903283) (← links)
• An empirical Bayes mixture method for effect size and false discovery rate estimation (Q977646) (← links)
• Feature selection in omics prediction problems using cat scores and false nondiscovery rate control (Q977653) (← links)
• Discriminant analysis of multivariate time series: application to diagnosis based on ECG signals (Q1615213) (← links)
• Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation (Q1662032) (← links)
• An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors (Q1927082) (← links)
• Detecting column dependence when rows are correlated and estimating the strength of the row correlation (Q1952113) (← links)
• A semiparametric mixture method for local false discovery rate estimation from multiple studies (Q2044249) (← links)
• Semi-supervised multiple testing (Q2084464) (← links)
• Uncertainty quantification for robust variable selection and multiple testing (Q2106788) (← links)
• False discovery rate control with unknown null distribution: is it possible to mimic the oracle? (Q2131267) (← links)
• Sequential feature screening for generalized linear models with sparse ultra-high dimensional data (Q2200110) (← links)
• Effect-size estimation using semiparametric hierarchical mixture models in disease-association studies with neuroimaging data (Q2229317) (← links)
• A bias correction for the minimum error rate in cross-validation (Q2270674) (← links)
• General power and sample size calculations for high-dimensional genomic data (Q2344242) (← links)
• Empirical Bayes regression analysis with many regressors but fewer observations (Q2382899) (← links)
• A guided random walk through some high dimensional problems (Q2431011) (← links)
• Compound \(p\)-value statistics for multiple testing procedures (Q2438636) (← links)
• Optimal classification in sparse Gaussian graphic model (Q2438761) (← links)
• Bayesian shrinkage methods for partially observed data with many predictors (Q2441860) (← links)
• Stability of feature selection in classification issues for high-dimensional correlated data (Q2628882) (← links)
• Estimating minimum effect with outlier selection (Q2656596) (← links)
• Empirical Bayes logistic regression (Q2864020) (← links)
• Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments (Q2893379) (← links)
• A novel definition of the multivariate coefficient of variation (Q3056482) (← links)
• Estimation and selection in high-dimensional genomic studies for developing molecular diagnostics (Q3303664) (← links)
• Expectation Propagation in the Large Data Limit (Q4603808) (← links)
• Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction (Q4629271) (← links)
• (Q4671209) (← links)
• The Sparse MLE for Ultrahigh-Dimensional Feature Screening (Q4975575) (← links)
• Large-scale inference: empirical Bayes methods for estimation, testing, and prediction (Q5127098) (← links)
• Prediction, Estimation, and Attribution (Q5130603) (← links)
• Robust Variable and Interaction Selection for Logistic Regression and General Index Models (Q5229910) (← links)
• An empirical Bayes risk prediction model using multiple traits for sequencing data (Q5962704) (← links)
• Prediction, Estimation, and Attribution (Q6068035) (← links)
• Two‐group Poisson‐Dirichlet mixtures for multiple testing (Q6074510) (← links)
• Adaptive novelty detection with false discovery rate guarantee (Q6151968) (← links)
• Penalized logistic regression with prior information for microarray gene expression classification (Q6590277) (← links)
• High dimensional discriminant rules with shrinkage estimators of the covariance matrix and mean vector (Q6616195) (← links)
• A locally adaptive shrinkage approach to false selection rate control in high-dimensional classification (Q6621322) (← links)
• An Empirical Bayes Approach to Controlling the False Discovery Exceedance (Q6626270) (← links)