The following pages link to hgam (Q23148):
Displaying 22 items.
- Component selection in the additive regression model (Q2852624) (← links)
- Standardization and the group lasso penalty (Q2905105) (← links)
- Identification of partially linear structure in additive models with an application to gene expression prediction from sequences (Q2912335) (← links)
- (Q2953631) (← links)
- Non-asymptotic oracle inequalities for the Lasso and Group Lasso in high dimensional logistic model (Q2954238) (← links)
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models (Q3095174) (← links)
- (Q3145541) (← links)
- Metamodel construction for sensitivity analysis (Q4606427) (← links)
- Tuning parameters in random forests (Q4606433) (← links)
- Semiparametric model average prediction in panel data analysis (Q4634445) (← links)
- Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models (Q4904729) (← links)
- Estimation by polynomial splines with variable selection in additive Cox models (Q5169752) (← links)
- Lag selection in stochastic additive models (Q5299870) (← links)
- Minimax-optimal rates for sparse additive models over kernel classes via convex programming (Q5405123) (← links)
- Estimation of a sparse group of sparse vectors (Q5411039) (← links)
- Weakly decomposable regularization penalties and structured sparsity (Q5413946) (← links)
- Asymptotics for penalised splines in generalised additive models (Q5419465) (← links)
- Testing for additivity in non‐parametric regression (Q5507368) (← links)
- Bayesian quantile regression for partially linear additive models (Q5963735) (← links)
- A selective review of group selection in high-dimensional models (Q5965305) (← links)
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers (Q5965308) (← links)
- Rejoinder (Q5965588) (← links)
