Pages that link to "Item:Q147375"
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The following pages link to The Adaptive Lasso and Its Oracle Properties (Q147375):
Displaying 50 items.
- Biclustering via Sparse Singular Value Decomposition (Q3076038) (← links)
- Adaptive Posterior Mode Estimation of a Sparse Sequence for Model Selection (Q3077759) (← links)
- Covariate Selection for the Semiparametric Additive Risk Model (Q3077760) (← links)
- Variable Selection for Panel Count Data via Non-Concave Penalized Estimating Function (Q3077761) (← links)
- Optimal Detection of Heterogeneous and Heteroscedastic Mixtures (Q3107196) (← links)
- A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI (Q3121154) (← links)
- Linear Hypothesis Testing in Dense High-Dimensional Linear Models (Q3121181) (← links)
- Improvement of multiple kernel learning using adaptively weighted regularization (Q3121201) (← links)
- A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI (Q3121557) (← links)
- Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models (Q3121567) (← links)
- Sparsity Oriented Importance Learning for High-Dimensional Linear Regression (Q3121571) (← links)
- Nonconvex-TV Based Image Restoration with Impulse Noise Removal (Q3130761) (← links)
- SCAD-penalised generalised additive models with non-polynomial dimensionality (Q3145392) (← links)
- Variable selection in high-dimensional partly linear additive models (Q3145401) (← links)
- Group variable selection in cardiopulmonary cerebral resuscitation data for veterinary patients (Q3168268) (← links)
- The LASSO Method for Bilinear Time Series Models (Q3178511) (← links)
- GMM estimation in partial linear models with endogenous covariates causing an over-identified problem (Q3178629) (← links)
- Detection of multiple undocumented change-points using adaptive Lasso (Q3179235) (← links)
- Estimating spatial covariance using penalised likelihood with weighted<i>L</i><sub>1</sub>penalty (Q3182743) (← links)
- A Continuous Exact $\ell_0$ Penalty (CEL0) for Least Squares Regularized Problem (Q3192668) (← links)
- Fixed-Size Confidence Regions in High-Dimensional Sparse Linear Regression Models (Q3194549) (← links)
- Variable selection in identification of a high dimensional nonlinear non-parametric system (Q3196113) (← links)
- Coupled-Feature Hypergraph Representation for Feature Selection (Q3300148) (← links)
- Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis (Q3303621) (← links)
- Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression (Q3304848) (← links)
- L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses (Q3304862) (← links)
- Particle swarm stepwise (PaSS) algorithm for information criteria-based variable selections (Q3389595) (← links)
- A fast adaptive Lasso for the cox regression via safe screening rules (Q3389652) (← links)
- A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data (Q3390327) (← links)
- Global optimal model selection for high-dimensional survival analysis (Q3390347) (← links)
- A penalized estimation for the Cox model with ordinal multinomial covariates (Q3390621) (← links)
- Sparse Convex Clustering (Q3391120) (← links)
- Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO (Q3391213) (← links)
- Interaction Model and Model Selection for Function-on-Function Regression (Q3391237) (← links)
- Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory for<i>Adaptive-Impute</i> (Q3391239) (← links)
- Scalable Bayesian Regression in High Dimensions With Multiple Data Sources (Q3391441) (← links)
- Adaptive Lasso in high-dimensional settings (Q3391785) (← links)
- Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure (Q3459931) (← links)
- Generalized <i>t</i>‐statistic for two‐group classification (Q3459938) (← links)
- A penalized likelihood approach for investigating gene–drug interactions in pharmacogenetic studies (Q3459956) (← links)
- Variable Selection in Semiparametric Quantile Modeling for Longitudinal Data (Q3462363) (← links)
- SCAD-Penalized Least Absolute Deviation Regression in High-Dimensional Models (Q3462376) (← links)
- Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies (Q3465248) (← links)
- Weighted Elastic Net Penalized Mean-Variance Portfolio Design and Computation (Q3465255) (← links)
- Sparse canonical correlation analysis from a predictive point of view (Q3465340) (← links)
- Variable selection for zero‐inflated and overdispersed data with application to health care demand in Germany (Q3465343) (← links)
- Confounder selection via penalized credible regions (Q3465362) (← links)
- On the selection of ordinary differential equation models with application to predator‐prey dynamical models (Q3465737) (← links)
- Simultaneous variable selection for joint models of longitudinal and survival outcomes (Q3465745) (← links)
- Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data (Q3506488) (← links)
