Pages that link to "Item:Q1816973"

The following pages link to A minimaxity criterion in nonparametric regression based on large-deviations probabilities (Q1816973):

Displaying 10 items.

• Large deviations theorems in nonparametric regression on functional data (Q544915) (← links)
• Minimax lower bound for kink location estimators in a nonparametric regression model with long-range dependence (Q645442) (← links)
• Minimax Bahadur efficiency for small confidence levels. (Q1130110) (← links)
• On the consistency of the global minimizer of Mallow's criterion for nonparametric regression (Q1174649) (← links)
• Remarks on extremal problems in nonparametric curve estimation (Q1293841) (← links)
• Large deviations for the \(L_1\)-distance in kernel density estimation (Q1591278) (← links)
• The max-MSE's of minimax estimators of variance in nonparametric regression (Q1894984) (← links)
• Admissibility and minimaxity of the uniform design measure in nonparametric regression model (Q1969140) (← links)
• Uniform \(L_1\)-distance large deviations in nonparametric density estimation (Q2387137) (← links)
• Exact asymptotics for estimating the marginal density of discretely observed diffusion proc\-esses (Q2565928) (← links)