The following pages link to glmnet (Q20169):
Displaying 50 items.
- Solution path clustering with adaptive concave penalty (Q457964) (← links)
- Statistical inference of regulatory networks for circadian regulation (Q461673) (← links)
- Kernel methods in system identification, machine learning and function estimation: a survey (Q462325) (← links)
- Imputing genotypes using regularized generalized linear regression models (Q470300) (← links)
- The variational Garrote (Q479478) (← links)
- Optimal computational and statistical rates of convergence for sparse nonconvex learning problems (Q482875) (← links)
- Variable selection for BART: an application to gene regulation (Q484051) (← links)
- Weighted \(\ell_1\)-penalized corrected quantile regression for high dimensional measurement error models (Q495344) (← links)
- Supersparse linear integer models for optimized medical scoring systems (Q506427) (← links)
- MLSLR: multilabel learning via sparse logistic regression (Q507663) (← links)
- Penalized B-spline estimator for regression functions using total variation penalty (Q511676) (← links)
- Iteration complexity analysis of block coordinate descent methods (Q526831) (← links)
- Spurious predictions with random time series: the Lasso in the context of paleoclimatic reconstructions. Discussion of: ``A statistical analysis of multiple temperature proxies: are reconstructions of surface temperatures over the last 1000 years reliable (Q542454) (← links)
- Rejoinder: ``A statistical analysis of multiple temperature proxies: are reconstructions of surface temperatures over the last 1000 years reliable?'' (Q542455) (← links)
- Improved variable selection with forward-lasso adaptive shrinkage (Q542500) (← links)
- Approximation accuracy, gradient methods, and error bound for structured convex optimization (Q607498) (← links)
- \(\ell_{1}\)-penalization for mixture regression models (Q619141) (← links)
- A majorization-minimization approach to variable selection using spike and slab priors (Q638812) (← links)
- Structured, sparse regression with application to HIV drug resistance (Q641120) (← links)
- Forward selection and estimation in high dimensional single index models (Q670181) (← links)
- Nonconcave penalized composite conditional likelihood estimation of sparse Ising models (Q693730) (← links)
- Sparse factor regression via penalized maximum likelihood estimation (Q725684) (← links)
- The shape Boltzmann machine: a strong model of object shape (Q740413) (← links)
- APPLE: approximate path for penalized likelihood estimators (Q746326) (← links)
- Majorization minimization by coordinate descent for concave penalized generalized linear models (Q746337) (← links)
- Sample size determination for training cancer classifiers from microarray and RNA-seq data (Q746699) (← links)
- Wavelet-domain regression and predictive inference in psychiatric neuroimaging (Q746704) (← links)
- Prototype selection for interpretable classification (Q765979) (← links)
- An easy-to-implement hierarchical standardization for variable selection under strong heredity constraint (Q777839) (← links)
- Multi-target support vector regression via correlation regressor chains (Q778425) (← links)
- Adaptive and reversed penalty for analysis of high-dimensional correlated data (Q823261) (← links)
- Tuning-free ridge estimators for high-dimensional generalized linear models (Q830109) (← links)
- A nonparametric empirical Bayes approach to large-scale multivariate regression (Q830438) (← links)
- Generalized co-sparse factor regression (Q830453) (← links)
- Model-free variable selection for conditional mean in regression (Q830544) (← links)
- Penalized logspline density estimation using total variation penalty (Q830579) (← links)
- Hybrid safe-strong rules for efficient optimization in Lasso-type problems (Q830584) (← links)
- Additive regularization of topic models (Q890299) (← links)
- Sparse identification of posynomial models (Q894327) (← links)
- Characterization of weighted quantile sum regression for highly correlated data in a risk analysis setting (Q894843) (← links)
- A cocktail algorithm for solving the elastic net penalized Cox's regression in high dimensions (Q897168) (← links)
- Accounting for linkage disequilibrium in genome-wide association studies: a penalized regression method (Q897196) (← links)
- A regularization framework for multiclass classification: a deterministic annealing approach (Q969088) (← links)
- Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer (Q977622) (← links)
- Estimating time-varying networks (Q977626) (← links)
- SPADES and mixture models (Q988014) (← links)
- EZtune (Q1334360) (← links)
- gamlss.lasso (Q1349716) (← links)
- DTRlearn2 (Q1350242) (← links)
- DDL (Q1351393) (← links)
