Pages that link to "Item:Q5743258"
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The following pages link to High Dimensional Thresholded Regression and Shrinkage Effect (Q5743258):
Displaying 29 items.
- On constrained and regularized high-dimensional regression (Q380022) (← links)
- Penalized least squares estimation with weakly dependent data (Q525888) (← links)
- On oracle inequalities related to data-driven hard thresholding (Q718892) (← links)
- Nonconvex penalized reduced rank regression and its oracle properties in high dimensions (Q900821) (← links)
- Conditional quantile correlation screening procedure for ultrahigh-dimensional varying coefficient models (Q1643796) (← links)
- Balanced estimation for high-dimensional measurement error models (Q1663093) (← links)
- An effective procedure for feature subset selection in logistic regression based on information criteria (Q2044566) (← links)
- High-dimensional linear regression with hard thresholding regularization: theory and algorithm (Q2097492) (← links)
- An efficient optimization approach for best subset selection in linear regression, with application to model selection and fitting in autoregressive time-series (Q2282827) (← links)
- Accelerated iterative hard thresholding algorithm for \(l_0\) regularized regression problem (Q2307753) (← links)
- Shrinkage and LASSO strategies in high-dimensional heteroscedastic models (Q2816430) (← links)
- (Q4558508) (← links)
- Hard thresholding regression (Q4629285) (← links)
- Nonsparse Learning with Latent Variables (Q4994162) (← links)
- (Q4998944) (← links)
- Partitioned Approach for High-dimensional Confidence Intervals with Large Split Sizes (Q5037796) (← links)
- Semi-Standard Partial Covariance Variable Selection When Irrepresentable Conditions Fail (Q5041338) (← links)
- Variable Selection With Second-Generation <i>P</i>-Values (Q5050808) (← links)
- <i>L</i><sub>0</sub>-Regularized Learning for High-Dimensional Additive Hazards Regression (Q5058017) (← links)
- Threshold single index regression model from high-dimensional data (Q5064179) (← links)
- Principal varying coefficient estimator for high-dimensional models (Q5205848) (← links)
- (Q5214193) (← links)
- Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity (Q5348469) (← links)
- High-dimensional statistical inference via DATE (Q5875199) (← links)
- Neural network for a class of sparse optimization with \(L_0\)-regularization (Q6077003) (← links)
- <i>L</i> <sub>0</sub> -regularization for high-dimensional regression with corrupted data (Q6082450) (← links)
- Communication-efficient estimation for distributed subset selection (Q6089198) (← links)
- Accelerated smoothing hard thresholding algorithms for \(\ell_0\) regularized nonsmooth convex regression problem (Q6111359) (← links)
- Sparse regularization with the ℓ0 norm (Q6166163) (← links)