Pages that link to "Item:Q2683046"
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The following pages link to Nearly optimal Bayesian shrinkage for high-dimensional regression (Q2683046):
Displaying 14 items.
- Relaxing the Gaussian assumption in shrinkage and SURE in high dimension (Q2105194) (← links)
- Horseshoe shrinkage methods for Bayesian fusion estimation (Q2157506) (← links)
- Bayesian linear regression for multivariate responses under group sparsity (Q2175004) (← links)
- Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods (Q3391194) (← links)
- Sparse Online Variational Bayesian Regression (Q5052896) (← links)
- Time fused coefficient SIR model with application to COVID-19 epidemic in the United States (Q6078138) (← links)
- Optimal false discovery control of minimax estimators (Q6103221) (← links)
- Neuronized Priors for Bayesian Sparse Linear Regression (Q6110693) (← links)
- Consistent Sparse Deep Learning: Theory and Computation (Q6110715) (← links)
- High-dimensional Bayesian network classification with network global-local shrinkage priors (Q6203344) (← links)
- Nearly optimal Bayesian Shrinkage for High Dimensional Regression (Q6295682) (← links)
- Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery (Q6645130) (← links)
- Shrinkage priors via random imaginary data (Q6657829) (← links)
- Factor-adjusted tests for generalized linear models with multimodal data: an application to breast cancer data (Q6668586) (← links)