The following pages link to glmnet (Q20169):
Displaying 50 items.
- Online Risk Monitoring Using Offline Simulation (Q3386770) (← links)
- A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization (Q3387904) (← links)
- A fast adaptive Lasso for the cox regression via safe screening rules (Q3389652) (← links)
- Coordinate majorization descent algorithm for nonconvex penalized regression (Q3389674) (← links)
- Measuring the Stability of Results From Supervised Statistical Learning (Q3391150) (← links)
- Two-Stage Bayesian Approach for GWAS With Known Genealogy (Q3391196) (← links)
- An Iterative Sparse-Group Lasso (Q3391280) (← links)
- Automatic Response Category Combination in Multinomial Logistic Regression (Q3391283) (← links)
- Compressed and Penalized Linear Regression (Q3391428) (← links)
- Scalable Bayesian Nonparametric Clustering and Classification (Q3391447) (← links)
- Diagonal Discriminant Analysis With Feature Selection for High-Dimensional Data (Q3391457) (← links)
- Testing Sparsity-Inducing Penalties (Q3391458) (← links)
- A Survey of Compressed Sensing (Q3460827) (← links)
- A component lasso (Q3463403) (← links)
- Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies (Q3465248) (← links)
- Variable selection for zero‐inflated and overdispersed data with application to health care demand in Germany (Q3465343) (← links)
- Meta‐analysis based variable selection for gene expression data (Q3465365) (← links)
- A sparse ising model with covariates (Q3465372) (← links)
- Tuning Parameter Selection in the LASSO with Unspecified Propensity (Q4556969) (← links)
- (Q4558173) (← links)
- The \(xyz\) algorithm for fast interaction search in high-dimensional data (Q4558182) (← links)
- Accelerating cross-validation in multinomial logistic regression with \(\ell_1\)-regularization (Q4558203) (← links)
- On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization (Q4558510) (← links)
- (Q4558524) (← links)
- (Q4558563) (← links)
- (Q4558572) (← links)
- An Empirical Comparison of Variable Selection Methods in Competing Risks Model (Q4561896) (← links)
- Variable selection – A review and recommendations for the practicing statistician (Q4563248) (← links)
- Multicompartment magnetic resonance fingerprinting (Q4582674) (← links)
- Cluster feature selection in high-dimensional linear models (Q4603581) (← links)
- Imputation for multisource data with comparison and assessment techniques (Q4620238) (← links)
- Multiple predicting<i>K</i>-fold cross-validation for model selection (Q4634448) (← links)
- (Q4637005) (← links)
- Gap Safe screening rules for sparsity enforcing penalties (Q4637055) (← links)
- A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing (Q4638806) (← links)
- Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs (Q4689639) (← links)
- The Spike-and-Slab LASSO (Q4690970) (← links)
- Identifying Soccer Players on Facebook Through Predictive Analytics (Q4692043) (← links)
- A linearly convergent majorized ADMM with indefinite proximal terms for convex composite programming and its applications (Q4960078) (← links)
- Model Selection for High-Dimensional Quadratic Regression via Regularization (Q4962427) (← links)
- On Reject and Refine Options in Multicategory Classification (Q4962439) (← links)
- A comparison of model selection methods for prediction in the presence of multiply imputed data (Q4967098) (← links)
- Large‐scale regression‐based pattern discovery: The example of screening the WHO global drug safety database (Q4969717) (← links)
- Composite large margin classifiers with latent subclasses for heterogeneous biomedical data (Q4970183) (← links)
- Hierarchical models for multiple, rare outcomes using massive observational healthcare databases (Q4970199) (← links)
- Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability (Q4970223) (← links)
- Bayesian variable selection for logistic regression (Q4970277) (← links)
- Weighted linear programming discriminant analysis for high‐dimensional binary classification (Q4970346) (← links)
- Sparse estimation of multivariate Poisson log‐normal models from count data (Q4970413) (← links)
- A penalized approach to covariate selection through quantile regression coefficient models (Q4971512) (← links)
