Pages that link to "Item:Q2860073"
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The following pages link to Variable selection for partially linear models via adaptive LASSO (Q2860073):
Displaying 17 items.
- Asymptotic properties of lasso in high-dimensional partially linear models (Q294512) (← links)
- Subset selection for vector autoregressive processes via adaptive Lasso (Q613145) (← links)
- Adaptive LASSO for varying-coefficient partially linear measurement error models (Q715584) (← links)
- Variable selection via RIVAL (removing irrelevant variables amidst lasso iterations) and its application to nuclear material detection (Q1937489) (← links)
- Variable selection and parameter estimation for partially linear models via Dantzig selector (Q1938499) (← links)
- Regression with adaptive Lasso and correlation based penalty (Q2109879) (← links)
- Adaptive variable selection in nonparametric sparse additive models (Q2396347) (← links)
- Variable selection for partially linear models via learning gradients (Q2408225) (← links)
- Linear trend filtering via adaptive Lasso (Q2419616) (← links)
- Using thresholding difference-based estimators for variable selection in partial linear models (Q2439628) (← links)
- The adaptive L1-penalized LAD regression for partially linear single-index models (Q2454024) (← links)
- Adaptive LASSO model selection in a multiphase quantile regression (Q2953450) (← links)
- Asymptotic normality of adaptive Dantzig selector method based on partial linear model (Q4625634) (← links)
- (Q4927057) (← links)
- WLAD-LASSO method for robust estimation and variable selection in partially linear models (Q5031688) (← links)
- Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models (Q5086169) (← links)
- Tuning Parameter Selection for the Adaptive Lasso Using ERIC (Q5367362) (← links)
