The following pages link to Sparse Additive Models (Q4632616):
Displaying 36 items.
- Generalized varying index coefficient models (Q5964590) (← links)
- Frequentist Model Averaging for the Nonparametric Additive Model (Q6039882) (← links)
- Grouped variable selection with discrete optimization: computational and statistical perspectives (Q6046300) (← links)
- HARFE: hard-ridge random feature expansion (Q6049834) (← links)
- Choosing shape parameters for regression in reproducing kernel Hilbert space and variable selection (Q6050675) (← links)
- (Q6073211) (← links)
- Functional additive models for optimizing individualized treatment rules (Q6079849) (← links)
- A Model-free Variable Screening Method Based on Leverage Score (Q6107196) (← links)
- Variable Selection Via Thompson Sampling (Q6107208) (← links)
- A sparse additive model for high-dimensional interactions with an exposure variable (Q6111496) (← links)
- Semiparametric model averaging method for survival probability predictions of patients (Q6115544) (← links)
- A reluctant additive model framework for interpretable nonlinear individualized treatment rules (Q6138648) (← links)
- Bayesian pathway selection (Q6176243) (← links)
- Measures of Uncertainty for Shrinkage Model Selection (Q6185141) (← links)
- Sparse additive models in high dimensions with wavelets (Q6196795) (← links)
- High-dimensional local linear regression under sparsity and convex losses (Q6200896) (← links)
- Variable selection in additive models via hierarchical sparse penalty (Q6490395) (← links)
- Bayesian variable selection in generalized additive partial linear models (Q6537812) (← links)
- Structure discovery and parametrically guided regression (Q6539180) (← links)
- Backfitting algorithms for total-variation and empirical-norm penalized additive modelling with high-dimensional data (Q6541469) (← links)
- Locally adaptive sparse additive quantile regression model with TV penalty (Q6556770) (← links)
- Joint semiparametric kernel network regression (Q6560519) (← links)
- Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling (Q6561270) (← links)
- On the use of cross-validation for the calibration of the adaptive Lasso (Q6563663) (← links)
- Aggregated inference (Q6600359) (← links)
- Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities (Q6618421) (← links)
- Targeting Predictors Via Partial Distance Correlation With Applications to Financial Forecasting (Q6620922) (← links)
- Efficient functional Lasso kernel smoothing for high-dimensional additive regression (Q6621545) (← links)
- Data-adaptive additive modeling (Q6625660) (← links)
- Spike-and-slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high-dimensional data analysis (Q6628512) (← links)
- DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation (Q6631694) (← links)
- Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models (Q6636572) (← links)
- A high-dimensional single-index regression for interactions between treatment and covariates (Q6640075) (← links)
- Asymptotically faster estimation of high-dimensional additive models using subspace learning (Q6641032) (← links)
- A survey of some recent developments in measures of association (Q6645569) (← links)
- Bayesian generalized additive model selection including a fast variational option (Q6649314) (← links)
