The following pages link to (Q4864293):
Displaying 50 items.
- Sparse principal component analysis via regularized low rank matrix approximation (Q928846) (← links)
- Composite quantile regression and the oracle model selection theory (Q930648) (← links)
- Kernel methods in machine learning (Q930651) (← links)
- On solving \(L_{q}\)-penalized regressions (Q933880) (← links)
- One-step sparse estimates in nonconcave penalized likelihood models (Q939649) (← links)
- Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models (Q939653) (← links)
- The sparsity and bias of the LASSO selection in high-dimensional linear regression (Q939654) (← links)
- ``Preconditioning'' for feature selection and regression in high-dimensional problems (Q939656) (← links)
- Dimension reduction based on constrained canonical correlation and variable filtering (Q939658) (← links)
- Iterative thresholding algorithms (Q942154) (← links)
- PCA and SVD with nonnegative loadings (Q955823) (← links)
- Testing significance of features by lassoed principal components (Q958329) (← links)
- Another look at Huber's estimator: a new minimax estimator in regression with stochastically bounded noise (Q958808) (← links)
- Projected gradient approach to the numerical solution of the SCoTLASS (Q959150) (← links)
- Response shrinkage estimators in binary regression (Q959373) (← links)
- Simple and interpretable discrimination (Q961222) (← links)
- Shrinkage and model selection with correlated variables via weighted fusion (Q961274) (← links)
- Deviance information criterion (DIC) in Bayesian multiple QTL mapping (Q961371) (← links)
- Tests for Gaussian graphical models (Q961382) (← links)
- Covariate selection in mixture models with the censored response variable (Q961698) (← links)
- Bayesian binary kernel probit model for microarray based cancer classification and gene selection (Q961916) (← links)
- Penalized factor mixture analysis for variable selection in clustered data (Q961929) (← links)
- Sparse estimation and inference for censored median regression (Q963882) (← links)
- Structured variable selection and estimation (Q965141) (← links)
- Image denoising via solution paths (Q970161) (← links)
- A framework of irregularity enlightenment for data pre-processing in data mining (Q970169) (← links)
- Financial market forecasting using a two-step kernel learning method for the support vector regression (Q970173) (← links)
- Sparse Bayesian hierarchical modeling of high-dimensional clustering problems (Q972898) (← links)
- Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images (Q975156) (← links)
- Statistical advances and challenges for analyzing correlated high dimensional SNP data in genomic study for complex diseases (Q975561) (← links)
- Least angle and \(\ell _{1}\) penalized regression: a review (Q975564) (← links)
- A survey of cross-validation procedures for model selection (Q975579) (← links)
- Segmentation of ARX-models using sum-of-norms regularization (Q976288) (← links)
- Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer (Q977622) (← links)
- A multivariate adaptive stochastic search method for dimensionality reduction in classification (Q977639) (← links)
- Enhanced ridge regressions (Q984175) (← links)
- High-dimensional Gaussian model selection on a Gaussian design (Q985331) (← links)
- Penalized variable selection procedure for Cox models with semiparametric relative risk (Q987999) (← links)
- Variable selection in nonparametric additive models (Q988006) (← links)
- SPADES and mixture models (Q988014) (← links)
- Penalized quantile regression for dynamic panel data (Q989274) (← links)
- Sparse regulatory networks (Q993240) (← links)
- Feature selection guided by structural information (Q993274) (← links)
- Estimation of covariance matrix via the sparse Cholesky factor with lasso (Q993832) (← links)
- When do stepwise algorithms meet subset selection criteria? (Q995431) (← links)
- Regularized partial and/or constrained redundancy analysis (Q998840) (← links)
- Controlled stratification for quantile estimation (Q999679) (← links)
- Consistencies and rates of convergence of jump-penalized least squares estimators (Q1002154) (← links)
- Lasso-type recovery of sparse representations for high-dimensional data (Q1002157) (← links)
- Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data (Q1004954) (← links)
