Pages that link to "Item:Q2054467"
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The following pages link to Second-order Stein: SURE for SURE and other applications in high-dimensional inference (Q2054467):
Displaying 11 items.
- Degrees of freedom for piecewise Lipschitz estimators (Q1650119) (← links)
- Asymptotic normality of robust \(M\)-estimators with convex penalty (Q2106774) (← links)
- High-dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints (Q2119233) (← links)
- De-biasing the Lasso with degrees-of-freedom adjustment (Q2136990) (← links)
- Stein's method for negatively associated random variables with applications to second-order stationary random fields (Q4684934) (← links)
- Debiasing convex regularized estimators and interval estimation in linear models (Q6117025) (← links)
- Universality of regularized regression estimators in high dimensions (Q6183759) (← links)
- The Lasso with general Gaussian designs with applications to hypothesis testing (Q6183778) (← links)
- Inadmissibility of the corrected Akaike information criterion (Q6201858) (← links)
- Noise covariance estimation in multi-task high-dimensional linear models (Q6565298) (← links)
- Stein's identities and the related topics: an instructive explanation on shrinkage, characterization, normal approximation and goodness-of-fit (Q6578495) (← links)
