Pages that link to "Item:Q3345621"
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The following pages link to The optimal L<sub>p</sub>norm estimator in linear regression models (Q3345621):
Displaying 16 items.
- Bagging binary and quantile predictors for time series (Q291866) (← links)
- \(L_{1}\)-optimal linear programming estimator for periodic frontier functions with Hölder continuous derivative (Q891480) (← links)
- \(L_ 1\)-optimal estimates for a regression type function in \(R^ d\) (Q1185831) (← links)
- Sparse regression for extreme values (Q2074318) (← links)
- Optimal estimation methods under weakened linear restrictions in regression (Q2563627) (← links)
- Lindley type estimation with constrains on the norm (Q2801253) (← links)
- On the \(L_p\)-norm regression models for estimating value-at-risk (Q2832185) (← links)
- Minimum<i>L</i><sub><i>p</i></sub>Norm Estimator for Simple Linear Regressive Model (Q3007810) (← links)
- Some results on generalized regression quantiles (Q3212121) (← links)
- Nonlinear L<sub>P</sub>-norm estimation: part I - on the choice of the exponent, p, where the errors are additive (Q3685868) (← links)
- Nonlinear L<sub>p</sub>-norm estimation: Part II: The asymptotic distribution gf the exponent, p, as a function of the sample kurtosis. (Q3685869) (← links)
- Convex sets in minimum-distance estimation (Q3773059) (← links)
- (Q4838486) (← links)
- Accelerate stochastic subgradient method by leveraging local growth condition (Q5236746) (← links)
- Distributional hyperspace-convergence of Argmin-sets in convex 𝑀-estimation (Q6074047) (← links)
- Subbotin graphical models for extreme value dependencies with applications to functional neuronal connectivity (Q6179133) (← links)