Pages that link to "Item:Q5965305"
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The following pages link to A selective review of group selection in high-dimensional models (Q5965305):
Displaying 50 items.
- High-dimensional generalized linear models incorporating graphical structure among predictors (Q2326055) (← links)
- Penalized variable selection in competing risks regression (Q2364037) (← links)
- Bayesian sparse reduced rank multivariate regression (Q2397124) (← links)
- Variable selection and structure identification for varying coefficient Cox models (Q2404416) (← links)
- Consistent tuning parameter selection in high-dimensional group-penalized regression (Q2423857) (← links)
- Structural properties of affine sparsity constraints (Q2425165) (← links)
- Some properties of generalized fused Lasso and its applications to high dimensional data (Q2515849) (← links)
- On the robustness of the generalized fused Lasso to prior specifications (Q2631367) (← links)
- Adaptive group Lasso selection in quantile models (Q2633421) (← links)
- Bi-level variable selection in semiparametric transformation models with right-censored data (Q2666992) (← links)
- Promoting variable effect consistency in mixture cure model for credit scoring (Q2669883) (← links)
- Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models (Q3121567) (← links)
- PUlasso: High-Dimensional Variable Selection With Presence-Only Data (Q3304856) (← links)
- Scalable Bayesian Regression in High Dimensions With Multiple Data Sources (Q3391441) (← links)
- Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates (Q4962440) (← links)
- (Q4998947) (← links)
- Variable selection for mode regression (Q5035754) (← links)
- Regularized projection score estimation of treatment effects in high-dimensional quantile regression (Q5037812) (← links)
- (Q5037987) (← links)
- On the Convexification of Constrained Quadratic Optimization Problems with Indicator Variables (Q5041763) (← links)
- Improved Estimation of High-dimensional Additive Models Using Subspace Learning (Q5057096) (← links)
- Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination (Q5066430) (← links)
- Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors (Q5066449) (← links)
- Variable Selection for Multiple Function-on-Function Linear Regression (Q5089453) (← links)
- Difference-of-Convex Algorithms for a Class of Sparse Group $\ell_0$ Regularized Optimization Problems (Q5093646) (← links)
- Structure identification and variable selection in geographically weighted regression models (Q5106911) (← links)
- Simultaneous variable and factor selection via sparse group lasso in factor analysis (Q5107489) (← links)
- Iteratively Reweighted Group Lasso Based on Log-Composite Regularization (Q5161764) (← links)
- Bi-level variable selection via adaptive sparse group Lasso (Q5220909) (← links)
- Sparse optimization for nonconvex group penalized estimation (Q5222360) (← links)
- Causal Interaction in Factorial Experiments: Application to Conjoint Analysis (Q5231479) (← links)
- Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization (Q5413947) (← links)
- Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models (Q5881076) (← links)
- Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors (Q5962732) (← links)
- Partially linear additive quantile regression in ultra-high dimension (Q5963523) (← links)
- Introduction to the special issue on sparsity and regularization methods (Q5965302) (← links)
- Sparse quadratic classification rules via linear dimension reduction (Q6032761) (← links)
- Solving constrained nonsmooth group sparse optimization via group Capped-\(\ell_1\) relaxation and group smoothing proximal gradient algorithm (Q6043130) (← links)
- Grouped variable selection with discrete optimization: computational and statistical perspectives (Q6046300) (← links)
- Joint association and classification analysis of multi‐view data (Q6055711) (← links)
- Group sparse recovery via group square-root elastic net and the iterative multivariate thresholding-based algorithm (Q6065672) (← links)
- Model-Based Clustering of High-Dimensional Longitudinal Data via Regularization (Q6079763) (← links)
- A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants (Q6138618) (← links)
- A convex-Nonconvex strategy for grouped variable selection (Q6144411) (← links)
- Variable selection for nonparametric additive Cox model with interval‐censored data (Q6149261) (← links)
- Additive partially linear models for ultra-high-dimensional regression (Q6541498) (← links)
- Partially constrained group variable selection to adjust for complementary unit performance in American college football (Q6547163) (← links)
- Consistent group selection using nonlocal priors in regression (Q6549170) (← links)
- Group variable selection via group sparse neural network (Q6554267) (← links)
- Simultaneous selection and incorporation of consistent external aggregate information (Q6560564) (← links)
