Pages that link to "Item:Q988006"
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The following pages link to Variable selection in nonparametric additive models (Q988006):
Displaying 38 items.
- Variable selection in additive models via hierarchical sparse penalty (Q6490395) (← links)
- Estimation and variable selection for generalized functional partially varying coefficient hybrid models (Q6494432) (← links)
- Bayesian variable selection in generalized additive partial linear models (Q6537812) (← links)
- Variable selection for non-parametric quantile regression via smoothing spline analysis of variance (Q6537855) (← 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)
- Additive partially linear models for ultra-high-dimensional regression (Q6541498) (← links)
- An improved tensor regression model via location smoothing (Q6541789) (← links)
- Sparse multiple kernel learning: minimax rates with random projection (Q6541942) (← links)
- Nonparametric augmented probability weighting with sparsity (Q6554241) (← links)
- High-dimensional model averaging for quantile regression (Q6554768) (← links)
- Locally adaptive sparse additive quantile regression model with TV penalty (Q6556770) (← links)
- Iterative adaptive robust variable selection in nomparametric additive models (Q6592367) (← links)
- A review of Bayesian group selection approaches for linear regression models (Q6602118) (← links)
- Variable selection using P-splines (Q6604438) (← links)
- Identifying important gene signatures of BMI using network structure-aided nonparametric quantile regression (Q6617521) (← links)
- Homogeneity Pursuit in Single Index Models based Panel Data Analysis (Q6617763) (← links)
- Inference in Additively Separable Models With a High-Dimensional Set of Conditioning Variables (Q6617817) (← links)
- A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures (Q6617835) (← links)
- Multivariate varying-coefficient models via tensor decomposition (Q6621323) (← links)
- One-step regularized estimator for high-dimensional regression models (Q6621326) (← links)
- Locally sparse estimator of generalized varying coefficient model for asynchronous longitudinal data (Q6621342) (← links)
- Efficient functional Lasso kernel smoothing for high-dimensional additive regression (Q6621545) (← links)
- Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective (Q6623189) (← links)
- Data-adaptive additive modeling (Q6625660) (← links)
- Semi-supervised inference for nonparametric logistic regression (Q6625795) (← links)
- Selection of nonlinear interactions by a forward stepwise algorithm: application to identifying environmental chemical mixtures affecting health outcomes (Q6625981) (← links)
- Dynamic Peer Groups of Arbitrage Characteristics (Q6626211) (← links)
- Rule ensemble method with adaptive group Lasso for heterogeneous treatment effect estimation (Q6626865) (← links)
- Robust nonparametric integrative analysis to decipher heterogeneity and commonality across subgroups using sparse boosting (Q6628048) (← links)
- Robust group variable screening based on maximum Lq-likelihood estimation (Q6628221) (← 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)
- Variable screening and selection for ultra-high dimensional additive quantile regression with missing data (Q6631980) (← links)
- Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models (Q6636572) (← links)
- Asymptotically faster estimation of high-dimensional additive models using subspace learning (Q6641032) (← links)
- Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning (Q6651378) (← links)
- Distributed least product relative error estimation for semi-parametric multiplicative regression with massive data (Q6653433) (← links)
