Pages that link to "Item:Q141397"
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The following pages link to Estimator selection in the Gaussian setting (Q141397):
Displaying 17 items.
- LINselect (Q31531) (← links)
- Estimator selection in the Gaussian setting (Q141397) (← links)
- Estimator selection with respect to Hellinger-type risks (Q644788) (← links)
- A new approach to estimator selection (Q1708984) (← links)
- Optimal bounds for aggregation of affine estimators (Q1747732) (← links)
- Sharp oracle inequalities for aggregation of affine estimators (Q1940775) (← links)
- Low rank multivariate regression (Q1952208) (← links)
- Learning from MOM's principles: Le Cam's approach (Q2010482) (← links)
- A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning (Q2044333) (← links)
- Targeted cross-validation (Q2108483) (← links)
- A global homogeneity test for high-dimensional linear regression (Q2263711) (← links)
- Adaptive estimation over anisotropic functional classes via oracle approach (Q2352739) (← links)
- Estimator selection (Q2786536) (← links)
- General selection rule from a family of linear estimators (Q2845209) (← links)
- Post‐selection point and interval estimation of signal sizes in Gaussian samples (Q4960845) (← links)
- An alternative point of view on Lepski's method (Q5365671) (← links)
- High-dimensional regression with unknown variance (Q5965306) (← links)