gglasso

swMATH14361CRANgglassoMaRDI QIDQ26262

Group Lasso Penalized Learning Using a Unified BMD Algorithm

Hui Zou, Sahir Bhatnagar, Yi Yang

Last update: 18 March 2020

Copyright license: GNU General Public License, version 2.0

Software version identifier: 1.5

Source code repository: https://github.com/cran/gglasso

Related Items (46)

Group screening for ultra-high-dimensional feature under linear model ⋮ Variable screening in multivariate linear regression with high-dimensional covariates ⋮ Covariate-adjusted inference for differential analysis of high-dimensional networks ⋮ Network-adaptive robust penalized estimation of time-varying coefficient models with longitudinal data ⋮ Regularized high dimension low tubal-rank tensor regression ⋮ Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods ⋮ Bayesian Function-on-Scalars Regression for High-Dimensional Data ⋮ Fast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage Priors ⋮ A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer ⋮ Structured sparse support vector machine with ordered features ⋮ Variable selection for partially linear models via learning gradients ⋮ Promoting variable effect consistency in mixture cure model for credit scoring ⋮ Dynamic semi-parametric factor model for functional expectiles ⋮ Quantile regression with group Lasso for classification ⋮ Graph-based sparse linear discriminant analysis for high-dimensional classification ⋮ Quantile regression for additive coefficient models in high dimensions ⋮ Loss amount prediction from textual data using a double GLM with shrinkage and selection ⋮ The cluster correlation-network support vector machine for high-dimensional binary classification ⋮ LARS-type algorithm for group Lasso ⋮ Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models ⋮ Unnamed Item ⋮ Simultaneous nonparametric regression in RADWT dictionaries ⋮ A statistical pipeline for identifying physical features that differentiate classes of 3D shapes ⋮ Iteratively Reweighted Group Lasso Based on Log-Composite Regularization ⋮ changepoints ⋮ PhylogeneticEM ⋮ Unnamed Item ⋮ PRSPGx ⋮ ICBioMark ⋮ A fast unified algorithm for solving group-lasso penalize learning problems ⋮ higlasso ⋮ The fused Kolmogorov filter: a nonparametric model-free screening method ⋮ Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates ⋮ FIT ⋮ Computation of second-order directional stationary points for group sparse optimization ⋮ Optimal EMG placement for a robotic prosthesis controller with sequential, adaptive functional estimation (SAFE) ⋮ The de-biased group Lasso estimation for varying coefficient models ⋮ MLGL ⋮ Allocation Strategies for High Fidelity Models in the Multifidelity Regime ⋮ High-dimensional generalized linear models incorporating graphical structure among predictors ⋮ Quantile regression feature selection and estimation with grouped variables using Huber approximation ⋮ Scalar on network regression via boosting ⋮ Group penalized quantile regression ⋮ Unnamed Item ⋮ ecpc ⋮ ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching

This page was built for software: gglasso