The following pages link to Sparse Additive Models (Q4632616):
Displaying 50 items.
- Estimation of undirected graph with finite mixture of nonparanormal distribution (Q2241476) (← links)
- A sequential approach to feature selection in high-dimensional additive models (Q2242862) (← links)
- Variable selection for fixed effects varying coefficient models (Q2256573) (← links)
- Sparse model identification and learning for ultra-high-dimensional additive partially linear models (Q2274941) (← links)
- Rank reduction for high-dimensional generalized additive models (Q2274971) (← links)
- Additive models with trend filtering (Q2284363) (← links)
- Sure independence screening in ultrahigh dimensional generalized additive models (Q2317245) (← links)
- Rates of contraction with respect to \(L_2\)-distance for Bayesian nonparametric regression (Q2326065) (← links)
- Doubly penalized estimation in additive regression with high-dimensional data (Q2328052) (← links)
- Two stage smoothing in additive models with missing covariates (Q2338221) (← links)
- High dimensional single index models (Q2350065) (← links)
- A unified penalized method for sparse additive quantile models: an RKHS approach (Q2409400) (← links)
- PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting (Q2418515) (← links)
- Statistical inference in compound functional models (Q2447291) (← links)
- Copulas in Machine Learning (Q2849524) (← links)
- RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs (Q3304859) (← links)
- ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations (Q3391259) (← links)
- Nonparametric independence screening for ultra-high-dimensional longitudinal data under additive models (Q4559457) (← links)
- Bayesian Neural Networks for Selection of Drug Sensitive Genes (Q4559675) (← links)
- Metamodel construction for sensitivity analysis (Q4606427) (← links)
- Error Variance Estimation in Ultrahigh-Dimensional Additive Models (Q4690960) (← links)
- Penalized estimation of high-dimensional models under a generalized sparsity cindition (Q4921673) (← links)
- Feature screening in ultrahigh-dimensional additive Cox model (Q4960596) (← links)
- Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection (Q4962428) (← links)
- Sparse additive machine with ramp loss (Q4995049) (← links)
- (Q4998964) (← links)
- (Q5004058) (← links)
- Univariate measurement error selection likelihood for variable selection of additive model (Q5023864) (← links)
- Additive regression splines with total variation and non negative garrote penalties (Q5039807) (← links)
- Improved Estimation of High-dimensional Additive Models Using Subspace Learning (Q5057096) (← links)
- Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression (Q5066471) (← links)
- Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines (Q5084431) (← links)
- Sparse group lasso for multiclass functional logistic regression models (Q5085971) (← links)
- Sure independence screening for analyzing supersaturated designs (Q5087469) (← links)
- Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory (Q5097857) (← links)
- Ultrahigh dimensional feature screening for additive model with multivariate response (Q5107740) (← links)
- Functional Horseshoe Priors for Subspace Shrinkage (Q5146030) (← links)
- Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model (Q5146054) (← links)
- (Q5214207) (← links)
- (Q5214208) (← links)
- Global sensitivity analysis with dependence measures (Q5220789) (← links)
- Bayesian Additive Machine: classification with a semiparametric discriminant function (Q5222366) (← links)
- Partially Linear Functional Additive Models for Multivariate Functional Data (Q5229922) (← links)
- Sparse Additive Regression on a Regular Lattice (Q5378124) (← links)
- High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso (Q5378315) (← links)
- Refined Generalization Bounds of Gradient Learning over Reproducing Kernel Hilbert Spaces (Q5380250) (← links)
- Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models (Q5881076) (← links)
- AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories (Q5881103) (← links)
- Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors (Q5962732) (← links)
- Bayesian quantile regression for partially linear additive models (Q5963735) (← links)
