Pages that link to "Item:Q3097900"
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The following pages link to Variable selection and estimation in high-dimensional varying-coefficient models (Q3097900):
Displaying 41 items.
- (Q4344408) (← links)
- Greedy forward regression for variable screening (Q4639813) (← links)
- Variable selection for longitudinal data with high-dimensional covariates and dropouts (Q4960570) (← links)
- Feature screening in ultrahigh-dimensional additive Cox model (Q4960596) (← links)
- Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates (Q4962440) (← links)
- Model Selection via Bayesian Information Criterion for Quantile Regression Models (Q4975344) (← links)
- Modeling association between multivariate correlated outcomes and high-dimensional sparse covariates: the adaptive SVS method (Q5036571) (← links)
- Two-stage local rank estimation for generalised partially linear varying-coefficient models (Q5051323) (← links)
- Modified adaptive group lasso for high-dimensional varying coefficient models (Q5055141) (← links)
- Sparse reduced-rank regression for multivariate varying-coefficient models (Q5065249) (← links)
- Variance estimation for sparse ultra-high dimensional varying coefficient models (Q5078417) (← links)
- Variable selection for partially varying coefficient model based on modal regression under high dimensional data (Q5079227) (← links)
- Variable selection with group LASSO approach: Application to Cox regression with frailty model (Q5082578) (← links)
- Sparsity identification for high-dimensional partially linear model with measurement error (Q5085031) (← links)
- Time-varying coefficient model estimation through radial basis functions (Q5093028) (← links)
- Principal single-index varying-coefficient models for dimension reduction in quantile regression (Q5107741) (← links)
- Variable selection in the high-dimensional continuous generalized linear model with current status data (Q5128593) (← links)
- Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model (Q5146054) (← links)
- Quickly variable selection for varying coefficient models with missing response at random (Q5160177) (← links)
- Estimation by polynomial splines with variable selection in additive Cox models (Q5169752) (← links)
- Principal varying coefficient estimator for high-dimensional models (Q5205848) (← links)
- Robust variable selection in modal varying-coefficient models with longitudinal (Q5222265) (← links)
- Structural identification and variable selection in high-dimensional varying-coefficient models (Q5266564) (← links)
- (Q5435879) (← links)
- A selective review of group selection in high-dimensional models (Q5965305) (← links)
- Adaptive group Lasso neural network models for functions of few variables and time-dependent data (Q6049836) (← links)
- Discussion (Q6064065) (← links)
- Discussion (Q6064066) (← links)
- Unified variable selection for varying coefficient models with longitudinal data (Q6076833) (← links)
- Time-varying forecast combination for high-dimensional data (Q6090590) (← links)
- svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups (Q6091669) (← links)
- Quantile varying-coefficient structural equation model (Q6122758) (← links)
- Penalized estimation of a class of single‐index varying‐coefficient models for integrative genomic analysis (Q6149254) (← links)
- Estimation and variable selection for generalized functional partially varying coefficient hybrid models (Q6494432) (← links)
- Simultaneous selection and inference for varying coefficients with zero regions: a soft-thresholding approach (Q6589282) (← links)
- Sparse estimation in semiparametric finite mixture of varying coefficient regression models (Q6589289) (← links)
- A varying coefficient model with matrix valued covariates (Q6611228) (← links)
- Multivariate varying-coefficient models via tensor decomposition (Q6621323) (← links)
- Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study (Q6626913) (← links)
- Time-varying feature selection for longitudinal analysis (Q6627281) (← links)
- Asymptotically faster estimation of high-dimensional additive models using subspace learning (Q6641032) (← links)
