The following pages link to glmnet (Q20169):
Displaying 50 items.
- GlarmaVarSel (Q1351519) (← links)
- multivar (Q1352093) (← links)
- armada (Q1352104) (← links)
- GMDH2 (Q1352419) (← links)
- nnfor (Q1352422) (← links)
- gren (Q1352712) (← links)
- squeezy (Q1352714) (← links)
- ecpc (Q1352716) (← links)
- dmlalg (Q1354062) (← links)
- knockoff (Q1354202) (← links)
- SMLE (Q1354305) (← links)
- Estimator selection and combination in scalar-on-function regression (Q1615246) (← links)
- D-learning to estimate optimal individual treatment rules (Q1616327) (← links)
- Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications (Q1621008) (← links)
- Tuning parameter selection in sparse regression modeling (Q1621202) (← links)
- Sparse group Lasso and high dimensional multinomial classification (Q1621358) (← links)
- Bayesian variable selection for correlated covariates via colored cliques (Q1621667) (← links)
- Extended ordered paired comparison models with application to football data from German Bundesliga (Q1621966) (← links)
- Group subset selection for linear regression (Q1623472) (← links)
- Screening active factors in supersaturated designs (Q1623593) (← links)
- Variable and boundary selection for functional data via multiclass logistic regression modeling (Q1623638) (← links)
- Estimation of an oblique structure via penalized likelihood factor analysis (Q1623658) (← links)
- A sequential test for variable selection in high dimensional complex data (Q1623732) (← links)
- Variable selection in general multinomial logit models (Q1623760) (← links)
- An alternating direction method of multipliers for MCP-penalized regression with high-dimensional data (Q1633879) (← links)
- Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network (Q1639255) (← links)
- Evaluating the importance of different communication types in romantic tie prediction on social media (Q1639257) (← links)
- Variable selection via generalized SELO-penalized linear regression models (Q1640691) (← links)
- Targeted learning in data science. Causal inference for complex longitudinal studies (Q1641825) (← links)
- Estimable group effects for strongly correlated variables in linear models (Q1644425) (← links)
- Degrees of freedom for piecewise Lipschitz estimators (Q1650119) (← links)
- Predicting online invitation responses with a competing risk model using privacy-friendly social event data (Q1651729) (← links)
- Variable selection and parameter estimation with the Atan regularization method (Q1658121) (← links)
- Model selection via Bayesian information capacity designs for generalised linear models (Q1658158) (← links)
- Lasso, fractional norm and structured sparse estimation using a Hadamard product parametrization (Q1658387) (← links)
- Identification of relevant subtypes via preweighted sparse clustering (Q1658409) (← links)
- Robust estimation and variable selection in sufficient dimension reduction (Q1658471) (← links)
- Data-driven algorithms for dimension reduction in causal inference (Q1658547) (← links)
- Data shared Lasso: a novel tool to discover uplift (Q1659082) (← links)
- \(l_1\) regularized multiplicative iterative path algorithm for non-negative generalized linear models (Q1659085) (← links)
- Natural coordinate descent algorithm for \(\ell_1\)-penalised regression in generalised linear models (Q1659358) (← links)
- Structured variable selection via prior-induced hierarchical penalty functions (Q1659467) (← links)
- Wavelet-based scalar-on-function finite mixture regression models (Q1660192) (← links)
- High-dimensional multivariate posterior consistency under global-local shrinkage priors (Q1661340) (← links)
- Penalized composite likelihoods for inhomogeneous Gibbs point process models (Q1662861) (← links)
- Sparse principal component regression for generalized linear models (Q1662867) (← links)
- Sparse principal component regression with adaptive loading (Q1663268) (← links)
- Probing for sparse and fast variable selection with model-based boosting (Q1664500) (← links)
- Best subset binary prediction (Q1668571) (← links)
- Generalized Kalman smoothing: modeling and algorithms (Q1678609) (← links)
