Pages that link to "Item:Q3181932"
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The following pages link to Estimating the false discovery rate using the stochastic approximation algorithm (Q3181932):
Displaying 18 items.
- On false discovery rate thresholding for classification under sparsity (Q741797) (← links)
- The false discovery rate for statistical pattern recognition (Q1951997) (← links)
- Mini-batch learning of exponential family finite mixture models (Q2195820) (← links)
- Learning sparse deep neural networks with a spike-and-slab prior (Q2244563) (← links)
- Generalized linear mixed models with Gaussian mixture random effects: inference and application (Q2293384) (← links)
- Nearly optimal Bayesian shrinkage for high-dimensional regression (Q2683046) (← links)
- (Q3534828) (← links)
- On fuzzy familywise error rate and false discovery rate procedures for discrete distributions (Q3613164) (← links)
- Bayesian Neural Networks for Selection of Drug Sensitive Genes (Q4559675) (← links)
- Estimating false discovery proportion in multiple comparison under dependency (Q4607329) (← links)
- A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data (Q4916950) (← links)
- Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data (Q5154171) (← links)
- Bayesian Subset Modeling for High-Dimensional Generalized Linear Models (Q5327289) (← links)
- Markov Neighborhood Regression for High-Dimensional Inference (Q5881128) (← links)
- False discovery rate approach to dynamic change detection (Q6051082) (← links)
- Joint estimation of multiple mixed graphical models for pan-cancer network analysis (Q6541556) (← links)
- Time-varying dynamic Bayesian network learning for an fMRI study of emotion processing (Q6615922) (← links)
- Markov neighborhood regression for statistical inference of high-dimensional generalized linear models (Q6628530) (← links)
