Pages that link to "Item:Q117370"
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The following pages link to A unified approach to model selection and sparse recovery using regularized least squares (Q117370):
Displaying 50 items.
- Minimizing L <sub>1</sub> over L <sub>2</sub> norms on the gradient (Q5076010) (← links)
- Adaptive elastic net-penalized quantile regression for variable selection (Q5077881) (← links)
- Regularized robust estimation in binary regression models (Q5085631) (← links)
- Sparse structure selection and estimation (Q5085927) (← links)
- Stable Image Reconstruction Using Transformed Total Variation Minimization (Q5094633) (← links)
- A model-free feature screening approach based on kernel density estimation (Q5106938) (← links)
- A primal dual active set with continuation algorithm for high-dimensional nonconvex SICA-penalized regression (Q5107360) (← links)
- Confidence Intervals for Sparse Penalized Regression With Random Designs (Q5130623) (← links)
- A Simple Two-Sample Test in High Dimensions Based on <i>L</i><sup>2</sup>-Norm (Q5130640) (← links)
- A Scale-Invariant Approach for Sparse Signal Recovery (Q5204007) (← links)
- Likelihood adaptively modified penalties (Q5213972) (← links)
- Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes (Q5242485) (← links)
- Minimization of $\ell_{1-2}$ for Compressed Sensing (Q5251929) (← links)
- Efficient Penalized Estimation for Linear Regression Model (Q5265841) (← links)
- Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity (Q5348469) (← links)
- Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization (Q5860341) (← links)
- Variance estimation based on blocked 3×2 cross-validation in high-dimensional linear regression (Q5861470) (← links)
- Taylor quasi-likelihood for limited generalized linear models (Q5861540) (← links)
- High-dimensional statistical inference via DATE (Q5875199) (← links)
- Bayesian variable selection via a benchmark in normal linear models (Q5880065) (← links)
- Oracle estimation of parametric transformation models (Q5965319) (← links)
- Model Selection of Generalized Estimating Equation With Divergent Model Size (Q6039870) (← links)
- Robust penalized empirical likelihood in high dimensional longitudinal data analysis (Q6049408) (← links)
- Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring (Q6055538) (← links)
- Variable Selection for Interval‐censored Failure Time Data (Q6067573) (← links)
- Globally Adaptive Longitudinal Quantile Regression With High Dimensional Compositional Covariates (Q6069869) (← links)
- Integrative Analysis for High-Dimensional Stratified Models (Q6069883) (← links)
- Structured Ultrahigh Dimensional Multiple-Index Models with Efficient Estimation in Computation And Theory (Q6092965) (← links)
- Accelerated sparse recovery via gradient descent with nonlinear conjugate gradient momentum (Q6101532) (← links)
- Selection of fixed effects in high-dimensional generalized linear mixed models (Q6113503) (← links)
- Weighted least squares model averaging for accelerated failure time models (Q6115536) (← links)
- Sorted \(L_1/L_2\) minimization for sparse signal recovery (Q6120011) (← links)
- High-Dimensional Censored Regression via the Penalized Tobit Likelihood (Q6150365) (← links)
- On the maximum penalized full likelihood approach for Cox model with extreme value for heavily censored survival data (Q6178680) (← links)
- Culling the Herd of Moments with Penalized Empirical Likelihood (Q6190692) (← links)
- Heterogeneous robust estimation with the mixed penalty in high-dimensional regression model (Q6541110) (← links)
- The sparse estimation of the semiparametric linear transformation model with dependent current status data (Q6547181) (← links)
- A review of discriminant analysis in high dimensions (Q6562693) (← links)
- Variable selection in proportional odds model with informatively interval-censored data (Q6579430) (← links)
- Overview of robust variable selection methods for high-dimensional linear regression model (Q6585942) (← links)
- Group variable selection for the Cox model with interval-censored failure time data (Q6589252) (← links)
- Variable selection using \(L_q\) penalties (Q6604398) (← links)
- Overview of research advance for knockoff methods (Q6615097) (← links)
- Incorporating Graphical Structure of Predictors in Sparse Quantile Regression (Q6617798) (← links)
- Simultaneous variable selection and estimation for survival data via the Gaussian seamless-\(L_0\) penalty (Q6618442) (← links)
- Martingale-residual-based greedy model averaging for high-dimensional current status data (Q6618463) (← links)
- Sequential Scaled Sparse Factor Regression (Q6620886) (← links)
- High-Dimensional Interaction Detection With False Sign Rate Control (Q6620942) (← links)
- Variable selection in semiparametric nonmixture cure model with interval-censored failure time data: an application to the prostate cancer screening study (Q6624670) (← links)
- A conditional approach for regression analysis of case \(K\) interval-censored failure time data with informative censoring (Q6626712) (← links)