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 43 items.
- (Q4986368) (← links)
- Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs (Q5027037) (← links)
- Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions (Q5057240) (← links)
- A Scalable Hierarchical Lasso for Gene–Environment Interactions (Q5057242) (← links)
- A Pliable Lasso (Q5065986) (← links)
- Overlapping group lasso for high-dimensional generalized linear models (Q5076945) (← links)
- Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models (Q5086169) (← links)
- Nonparametric Interaction Selection (Q5089459) (← links)
- Sparse and switching infinite horizon optimal controls with mixed-norm penalizations (Q5126404) (← links)
- Sparse group variable selection based on quantile hierarchical Lasso (Q5128673) (← links)
- Computation of second-order directional stationary points for group sparse optimization (Q5210743) (← links)
- Regularized receiver operating characteristic-based logistic regression for grouped variable selection with composite criterion (Q5220892) (← links)
- Causal Interaction in Factorial Experiments: Application to Conjoint Analysis (Q5231479) (← links)
- Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph (Q5327299) (← links)
- Group screening for ultra-high-dimensional feature under linear model (Q5880025) (← links)
- Modeling Pregnancy Outcomes Through Sequentially Nested Regression Models (Q5885087) (← links)
- The EBIC and a sequential procedure for feature selection in interactive linear models with high-dimensional data (Q5963707) (← links)
- Structured sparsity through convex optimization (Q5965303) (← links)
- A selective review of group selection in high-dimensional models (Q5965305) (← links)
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers (Q5965308) (← links)
- Grouped variable selection with discrete optimization: computational and statistical perspectives (Q6046300) (← links)
- Variable Selection in Regression-Based Estimation of Dynamic Treatment Regimes (Q6055847) (← links)
- Bi-level variable selection in semiparametric transformation mixture cure models for right-censored data (Q6073556) (← links)
- A Dirichlet-Tree Multinomial Regression Model for Associating Dietary Nutrients with Gut Microorganisms (Q6079974) (← links)
- Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression (Q6086172) (← links)
- svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups (Q6091669) (← links)
- A sparse additive model for high-dimensional interactions with an exposure variable (Q6111496) (← links)
- A convex-Nonconvex strategy for grouped variable selection (Q6144411) (← links)
- Variable selection and regularization via arbitrary rectangle-range generalized elastic net (Q6172932) (← links)
- A dynamic screening algorithm for hierarchical binary marketing data (Q6179130) (← links)
- A nonparametric method for classification trees using grouped covariates (Q6550298) (← links)
- Convex support vector regression (Q6555168) (← links)
- Continuous exact relaxation and alternating proximal gradient algorithm for partial sparse and partial group sparse optimization problems (Q6569683) (← links)
- Sufficient dimension reduction for a novel class of zero-inflated graphical models (Q6573301) (← links)
- Least angle regression for model selection (Q6604388) (← links)
- Integrative analysis of `-omics' data using penalty functions (Q6604445) (← links)
- Penalized integrative semiparametric interaction analysis for multiple genetic datasets (Q6624693) (← links)
- Efficient interaction selection for clustered data via stagewise generalized estimating equations (Q6627550) (← links)
- Variable selection for high-dimensional partly linear additive Cox model with application to Alzheimer's disease (Q6627590) (← links)
- Accounting for established predictors with the multistep elastic net (Q6628715) (← links)
- Nonparametric feature screening for interaction effects in ultrahigh-dimensional survival data (Q6631994) (← links)
- A Unified Approach to Sparse Tweedie Modeling of Multisource Insurance Claim Data (Q6636552) (← links)
- Discovering interpretable structure in longitudinal predictors via coefficient trees (Q6661123) (← links)
