The following pages link to glmnet (Q20169):
Displaying 50 items.
- metafuse (Q155504) (← links)
- expandFunctions (Q155551) (← links)
- EnsemblePenReg (Q155652) (← links)
- bastah (Q156199) (← links)
- sparsereg (Q156606) (← links)
- MNS (Q156961) (← links)
- elasso (Q157159) (← links)
- EstHer (Q157428) (← links)
- robStepSplitReg (Q158701) (← links)
- FLORAL (Q159012) (← links)
- emBayes (Q159600) (← links)
- pheble (Q159837) (← links)
- stabiliser (Q159847) (← links)
- adapt4pv (Q159893) (← links)
- argo (Q160215) (← links)
- Sparse estimation via nonconcave penalized likelihood in factor analysis model (Q261015) (← links)
- Local linear smoothing for sparse high dimensional varying coefficient models (Q276223) (← links)
- Modeling discrete time-to-event data (Q279679) (← links)
- Tikhonov, Ivanov and Morozov regularization for support vector machine learning (Q285946) (← links)
- Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint (Q286265) (← links)
- Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks (Q306638) (← links)
- Sparse factor model for co-expression networks with an application using prior biological knowledge (Q306641) (← links)
- The use of vector bootstrapping to improve variable selection precision in Lasso models (Q309418) (← links)
- Screening-based Bregman divergence estimation with NP-dimensionality (Q309558) (← links)
- Thresholding least-squares inference in high-dimensional regression models (Q309566) (← links)
- Random subspace method for high-dimensional regression with the \texttt{R} package \texttt{regRSM} (Q311298) (← links)
- Detecting abrupt changes in the spectra of high-energy astrophysical sources (Q312981) (← links)
- CRM in social media: predicting increases in Facebook usage frequency (Q319329) (← links)
- An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market (Q320966) (← links)
- Advances in integrative statistics for logic programming (Q324669) (← links)
- Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee (Q331671) (← links)
- Improved nearest neighbor classifiers by weighting and selection of predictors (Q340856) (← links)
- Extensions of stability selection using subsamples of observations and covariates (Q340859) (← links)
- Practical inexact proximal quasi-Newton method with global complexity analysis (Q344963) (← links)
- Regularized logistic regression and multiobjective variable selection for classifying MEG data (Q353839) (← links)
- A lasso for hierarchical interactions (Q366961) (← links)
- The geometry of least squares in the 21st century (Q373539) (← links)
- Multivariate Bernoulli distribution (Q373541) (← links)
- Adjusted regularized estimation in the accelerated failure time model with high dimensional covariates (Q391867) (← links)
- Correlated variables in regression: clustering and sparse estimation (Q394080) (← links)
- Block coordinate descent algorithms for large-scale sparse multiclass classification (Q399900) (← links)
- A distributed algorithm for fitting generalized additive models (Q402192) (← links)
- A supervised clustering approach for fMRI-based inference of brain states (Q408011) (← links)
- Group coordinate descent algorithms for nonconvex penalized regression (Q425386) (← links)
- Coordinate ascent for penalized semiparametric regression on high-dimensional panel count data (Q429611) (← links)
- Non-convex penalized estimation in high-dimensional models with single-index structure (Q432323) (← links)
- Absolute penalty and shrinkage estimation in partially linear models (Q433248) (← links)
- Regularization for Cox's proportional hazards model with NP-dimensionality (Q449987) (← links)
- UPS delivers optimal phase diagram in high-dimensional variable selection (Q450021) (← links)
- High-dimensional Cox regression analysis in genetic studies with censored survival outcomes (Q454771) (← links)
