Pages that link to "Item:Q605920"

The following pages link to Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem (Q605920):

Displaying 50 items.

• Bayesian Variable Selection for Latent Class Models (Q3100794) (← links)
• Profiling the effects of short time-course cold ischemia on tumor protein phosphorylation using a Bayesian approach (Q3119845) (← links)
• Tractable Bayesian Variable Selection: Beyond Normality (Q3121566) (← links)
• Mixtures of<i><i>g</i></i>-Priors in Generalized Linear Models (Q3121572) (← links)
• Two-Stage Bayesian Approach for GWAS With Known Genealogy (Q3391196) (← links)
• Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO (Q3391213) (← links)
• An Objective Bayesian Criterion to Determine Model Prior Probabilities (Q3460655) (← links)
• Bayesian transformation family selection: Moving toward a transformed Gaussian universe (Q3463401) (← links)
• Bayesian Neural Networks for Selection of Drug Sensitive Genes (Q4559675) (← links)
• False Discovery Rate Smoothing (Q4559697) (← links)
• Adjusting for selection bias in assessing treatment effect estimates from multiple subgroups (Q4626724) (← links)
• Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction (Q4629271) (← links)
• The Spike-and-Slab LASSO (Q4690970) (← links)
• Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions (Q4904737) (← links)
• Bayesian Model Selection in High-Dimensional Settings (Q4916502) (← links)
• Semiparametric Bayesian Inference for Phage Display Data (Q4919582) (← links)
• Bayesian decision theoretic multiple comparison procedures: An application to phage display data (Q4921962) (← links)
• (Q4969130) (← links)
• (Q4969140) (← links)
• EMVS: The EM Approach to Bayesian Variable Selection (Q4975419) (← links)
• Inference From Intrinsic Bayes’ Procedures Under Model Selection and Uncertainty (Q4975558) (← links)
• A Bayesian extension of the hypergeometric test for functional enrichment analysis (Q4979230) (← links)
• Bayesian variable selection for multioutcome models through shared shrinkage (Q4994817) (← links)
• (Q5004047) (← links)
• (Q5053222) (← links)
• Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines (Q5084431) (← links)
• Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records (Q5146013) (← links)
• Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage (Q5146019) (← links)
• Bayesian variable selection in a class of mixture models for ordinal data: a comparative study (Q5220838) (← links)
• Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics (Q5229891) (← links)
• Bayesian Graphical Regression (Q5229903) (← links)
• Skinny Gibbs: A Consistent and Scalable Gibbs Sampler for Model Selection (Q5242469) (← links)
• A Bayesian subgroup analysis using collections of ANOVA models (Q5280190) (← links)
• Model averaged double robust estimation (Q5283296) (← links)
• Bayesian Subset Modeling for High-Dimensional Generalized Linear Models (Q5327289) (← links)
• Toward a Multisubject Analysis of Neural Connectivity (Q5380186) (← links)
• Informed Bayesian <i>t</i>-Tests (Q5869268) (← links)
• A Default Bayesian Hypothesis Test for ANOVA Designs (Q5876899) (← links)
• Rejoinder by James Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser (Q5879990) (← links)
• The influence of misspecified covariance on false discovery control when using posterior probabilities (Q5880180) (← links)
• Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models (Q5881076) (← links)
• Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer (Q5885074) (← links)
• Model Uncertainty Quantification in Cox Regression (Q6055744) (← links)
• Bayesian Genome- and Epigenome-Wide Association Studies with Gene Level Dependence (Q6056316) (← links)
• Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression (Q6086561) (← links)
• Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
• Variable Selection in the Presence of Factors: A Model Selection Perspective (Q6110705) (← links)
• Bayesian nonparametric hypothesis testing for longitudinal data analysis (Q6111504) (← links)
• Some permutation symmetric multiple hypotheses testing rules under dependent setup (Q6112083) (← links)
• Power-expected-posterior priors as mixtures of \(g\)-priors in normal linear models (Q6121976) (← links)