Pages that link to "Item:Q1043749"
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The following pages link to The composite absolute penalties family for grouped and hierarchical variable selection (Q1043749):
Displaying 50 items.
- Forest Garrote (Q1952025) (← links)
- Composite kernel learning (Q1959567) (← links)
- Efficient primal-dual fixed point algorithms with dynamic stepsize for composite convex optimization problems (Q2002421) (← links)
- Adaptive group Lasso for high-dimensional generalized linear models (Q2010806) (← links)
- A novel T-S fuzzy systems identification with block structured sparse representation (Q2017275) (← links)
- Bi-selection in the high-dimensional additive hazards regression model (Q2044320) (← links)
- Penalized Cox's proportional hazards model for high-dimensional survival data with grouped predictors (Q2058906) (← links)
- Variable selection in functional regression models: a review (Q2062803) (← links)
- Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces (Q2082546) (← links)
- Information criteria bias correction for group selection (Q2093122) (← links)
- Biclustering via structured regularized matrix decomposition (Q2141911) (← links)
- Objective Bayesian group variable selection for linear model (Q2155018) (← links)
- Robust grouped variable selection using distributionally robust optimization (Q2159460) (← links)
- Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors (Q2179967) (← links)
- The LASSO on latent indices for regression modeling with ordinal categorical predictors (Q2189591) (← links)
- Variable selection techniques after multiple imputation in high-dimensional data (Q2220289) (← links)
- Learning with tensors: a framework based on convex optimization and spectral regularization (Q2251466) (← links)
- Hierarchically penalized additive hazards model with diverging number of parameters (Q2254832) (← links)
- Multinomial logit models with implicit variable selection (Q2256779) (← links)
- Bayesian indicator variable selection to incorporate hierarchical overlapping group structure in multi-omics applications (Q2291545) (← links)
- On integer and MPCC representability of affine sparsity (Q2294300) (← links)
- AIC for the group Lasso in generalized linear models (Q2303501) (← links)
- Investigating consumers' store-choice behavior via hierarchical variable selection (Q2324251) (← links)
- Structured estimation for the nonparametric Cox model (Q2340869) (← links)
- Variable selection and structure identification for varying coefficient Cox models (Q2404416) (← links)
- Learning with optimal interpolation norms (Q2420165) (← links)
- Structural properties of affine sparsity constraints (Q2425165) (← links)
- Support union recovery in high-dimensional multivariate regression (Q2429923) (← links)
- Minimax sparse principal subspace estimation in high dimensions (Q2443207) (← links)
- Graph structured sparse subset selection (Q2662712) (← links)
- Model selection for functional linear regression with hierarchical structure (Q2673831) (← links)
- Low Complexity Regularization of Linear Inverse Problems (Q2799919) (← links)
- OR forum: An algorithmic approach to linear regression (Q2806052) (← links)
- Robust group non-convex estimations for high-dimensional partially linear models (Q2811266) (← links)
- The adaptive BerHu penalty in robust regression (Q2832013) (← links)
- Rank-based group variable selection (Q2832016) (← links)
- Network-based penalized regression with application to genomic data (Q2861942) (← links)
- Fixed and Random Effects Selection in Mixed Effects Models (Q3013979) (← links)
- Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models (Q3121567) (← links)
- An auxiliary function approach for Lasso in music composition using cellular automata (Q3179214) (← links)
- On Degrees of Freedom of Projection Estimators With Applications to Multivariate Nonparametric Regression (Q3304846) (← links)
- BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applications (Q3391445) (← links)
- Identification of homogeneous and heterogeneous variables in pooled cohort studies (Q3459937) (← links)
- Structured Sparsity: Discrete and Convex Approaches (Q3460840) (← links)
- Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies (Q3465248) (← links)
- Structured, Sparse Aggregation (Q4916515) (← links)
- Factor Selection and Structural Identification in the Interaction ANOVA Model (Q4919562) (← links)
- Model Selection for High-Dimensional Quadratic Regression via Regularization (Q4962427) (← links)
- Multiple Response Regression for Gaussian Mixture Models with Known Labels (Q4969864) (← links)
- Interaction Screening for Ultrahigh-Dimensional Data (Q4975578) (← links)
