Pages that link to "Item:Q714367"
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The following pages link to Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping (Q714367):
Displaying 22 items.
- A Cluster Elastic Net for Multivariate Regression (Q63195) (← links)
- Rare Feature Selection in High Dimensions (Q149281) (← links)
- Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping (Q714367) (← links)
- A shrinkage principle for heavy-tailed data: high-dimensional robust low-rank matrix recovery (Q820791) (← links)
- Regularization-based model tree for multi-output regression (Q1999021) (← links)
- Sparse group fused Lasso for model segmentation: a hybrid approach (Q2051576) (← links)
- Structured iterative hard thresholding with on- and off-grid applications (Q2074952) (← links)
- Bayesian joint inference for multivariate quantile regression model with \(L_{1/2}\) penalty (Q2135947) (← links)
- Structured hierarchical models for probabilistic inference from perturbation screening data (Q2170453) (← links)
- Group sparse recovery in impulsive noise via alternating direction method of multipliers (Q2197950) (← links)
- Capturing between-tasks covariance and similarities using multivariate linear mixed models (Q2209832) (← links)
- Asymptotic properties of concave \(L_1\)-norm group penalties (Q2288785) (← links)
- Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies (Q3465248) (← links)
- Convex Optimization for Group Feature Selection in Networked Data (Q5139860) (← links)
- Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage (Q5146019) (← links)
- A Dirichlet-Tree Multinomial Regression Model for Associating Dietary Nutrients with Gut Microorganisms (Q6079974) (← links)
- A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation (Q6138641) (← links)
- Event detection in online social network: methodologies, state-of-art, and evolution (Q6158766) (← links)
- A dynamic screening algorithm for hierarchical binary marketing data (Q6179130) (← links)
- On the Use of Minimum Penalties in Statistical Learning (Q6552530) (← links)
- Detecting clusters in multivariate response regression (Q6602354) (← links)
- A Unified Approach to Sparse Tweedie Modeling of Multisource Insurance Claim Data (Q6636552) (← links)
