Pages that link to "Item:Q366961"
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The following pages link to A lasso for hierarchical interactions (Q366961):
Displaying 50 items.
- A First-Order Optimization Algorithm for Statistical Learning with Hierarchical Sparsity Structure (Q5086011) (← links)
- Nonparametric Interaction Selection (Q5089459) (← links)
- (Q5148950) (← links)
- Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression (Q5155200) (← links)
- Integrative interaction analysis using threshold gradient directed regularization (Q5213973) (← links)
- (Q5214208) (← links)
- Robust Variable and Interaction Selection for Logistic Regression and General Index Models (Q5229910) (← links)
- <b><tt>cmenet</tt></b>: A New Method for Bi-Level Variable Selection of Conditional Main Effects (Q5231511) (← links)
- Identification of biomarker‐by‐treatment interactions in randomized clinical trials with survival outcomes and high‐dimensional spaces (Q5280185) (← links)
- Nonparametric Regression Based on Hierarchical Interaction Models (Q5280857) (← links)
- Regression modelling on stratified data with the lasso (Q5384445) (← links)
- The EBIC and a sequential procedure for feature selection in interactive linear models with high-dimensional data (Q5963707) (← links)
- Bayesian Factor Analysis for Inference on Interactions (Q6044639) (← links)
- Multidimensional molecular measurements–environment interaction analysis for disease outcomes (Q6055700) (← links)
- Hierarchical cancer heterogeneity analysis based on histopathological imaging features (Q6055707) (← links)
- Two-Level Bayesian Interaction Analysis for Survival Data Incorporating Pathway Information (Q6055748) (← links)
- Variable Selection in Regression-Based Estimation of Dynamic Treatment Regimes (Q6055847) (← links)
- Gene-environment interaction analysis under the Cox model (Q6058525) (← links)
- Assessing mediating effects of high‐dimensional microbiome measurements in dietary intervention studies (Q6064183) (← links)
- Gene–environment interaction identification via penalized robust divergence (Q6068481) (← links)
- BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data (Q6069479) (← 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)
- Unified model-free interaction screening via CV-entropy filter (Q6111655) (← links)
- Topological techniques in model selection (Q6115956) (← links)
- On the convex hull of convex quadratic optimization problems with indicators (Q6120854) (← links)
- Penalized estimation of a class of single‐index varying‐coefficient models for integrative genomic analysis (Q6149254) (← links)
- HiQR: an efficient algorithm for high-dimensional quadratic regression with penalties (Q6554257) (← links)
- Hierarchical false discovery rate control for high-dimensional survival analysis with interactions (Q6554259) (← links)
- Factor selection in screening experiments by aggregation over random models (Q6561273) (← links)
- Robust identification of gene-environment interactions under high-dimensional accelerated failure time models (Q6608559) (← links)
- A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures (Q6617835) (← links)
- High-Dimensional Interaction Detection With False Sign Rate Control (Q6620942) (← links)
- Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization (Q6621668) (← links)
- ADMM for High-Dimensional Sparse Penalized Quantile Regression (Q6622436) (← links)
- Penalized integrative semiparametric interaction analysis for multiple genetic datasets (Q6624693) (← links)
- Selection of nonlinear interactions by a forward stepwise algorithm: application to identifying environmental chemical mixtures affecting health outcomes (Q6625981) (← links)
- Identifying gene-environment interactions incorporating prior information (Q6625985) (← 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)
- Bayesian variable selection for understanding mixtures in environmental exposures (Q6627987) (← links)
- Gene-gene interaction analysis incorporating network information via a structured Bayesian approach (Q6628203) (← links)
- Interaction screening for high-dimensional heterogeneous data via robust hybrid metrics (Q6628207) (← links)
- Lasso estimation of hierarchical interactions for analyzing heterogeneity of treatment effect (Q6628229) (← links)
- Accounting for established predictors with the multistep elastic net (Q6628715) (← links)
- Robust semiparametric gene-environment interaction analysis using sparse boosting (Q6628722) (← links)
- Adaptive Process Monitoring Using Covariate Information (Q6631892) (← links)
- Nonparametric feature screening for interaction effects in ultrahigh-dimensional survival data (Q6631994) (← links)
- Constrained optimization of rank-one functions with indicator variables (Q6634534) (← links)
