The following pages link to hgam (Q23148):
Displaying 50 items.
- An introduction to recent advances in high/infinite dimensional statistics (Q268712) (← links)
- COBRA: a combined regression strategy (Q268720) (← links)
- Fast learning rate of multiple kernel learning: trade-off between sparsity and smoothness (Q366980) (← links)
- Polynomial spline estimation for generalized varying coefficient partially linear models with a diverging number of components (Q378915) (← links)
- Simultaneous confidence bands for sequential autoregressive fitting (Q392061) (← links)
- Correlated variables in regression: clustering and sparse estimation (Q394080) (← links)
- Consistency of support vector machines using additive kernels for additive models (Q433246) (← links)
- Semiparametric regression models with additive nonparametric components and high dimensional parametric components (Q435000) (← links)
- Transductive versions of the Lasso and the Dantzig selector (Q447611) (← links)
- CAM: causal additive models, high-dimensional order search and penalized regression (Q482906) (← links)
- High-dimensional Bayesian inference in nonparametric additive models (Q485930) (← links)
- Additive model selection (Q513754) (← links)
- On the \(L_p\) norms of kernel regression estimators for incomplete data with applications to classification (Q518885) (← links)
- Semi-varying coefficient models with a diverging number of components (Q548651) (← links)
- Sparsity in multiple kernel learning (Q620564) (← links)
- Generalization of constraints for high dimensional regression problems (Q645414) (← links)
- Oracle inequalities and optimal inference under group sparsity (Q651028) (← links)
- Learning non-parametric basis independent models from point queries via low-rank methods (Q741260) (← links)
- Automatic model selection for partially linear models (Q842929) (← links)
- Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates (Q888506) (← links)
- Functional additive regression (Q888512) (← links)
- A selective overview of feature screening for ultrahigh-dimensional data (Q892795) (← links)
- On degeneracy and invariances of random fields paths with applications in Gaussian process modelling (Q899361) (← links)
- Variable selection in nonparametric additive models (Q988006) (← links)
- Penalized likelihood and Bayesian function selection in regression models (Q1621251) (← links)
- Nonparametric independence screening via favored smoothing bandwidth (Q1643789) (← links)
- Fast learning rate of non-sparse multiple kernel learning and optimal regularization strategies (Q1657947) (← links)
- Regularized estimation for the least absolute relative error models with a diverging number of covariates (Q1659468) (← links)
- Variable selection for high dimensional Gaussian copula regression model: an adaptive hypothesis testing procedure (Q1662864) (← links)
- Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space (Q1750287) (← links)
- Variable selection in a partially linear proportional hazards model with a diverging dimensionality (Q1933699) (← links)
- Consistency of sparse PCA in high dimension, low sample size contexts (Q1941448) (← links)
- Fixed and random effects selection in nonparametric additive mixed models (Q1950841) (← links)
- A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates (Q1950897) (← links)
- PAC-Bayesian estimation and prediction in sparse additive models (Q1951111) (← links)
- Dimension reduction and variable selection in case control studies via regularized likelihood optimization (Q1952024) (← links)
- Buckley-James boosting for survival analysis with high-dimensional biomarker data (Q2254461) (← links)
- Minimax-optimal nonparametric regression in high dimensions (Q2343958) (← links)
- High dimensional single index models (Q2350065) (← links)
- Sparse high-dimensional varying coefficient model: nonasymptotic minimax study (Q2352741) (← links)
- A unified penalized method for sparse additive quantile models: an RKHS approach (Q2409400) (← links)
- Statistical inference in compound functional models (Q2447291) (← links)
- On the uniform convergence of empirical norms and inner products, with application to causal inference (Q2452107) (← links)
- SCAD-penalized regression in additive partially linear proportional hazards models with an ultra-high-dimensional linear part (Q2637602) (← links)
- Model structure selection in single-index-coefficient regression models (Q2637608) (← links)
- Accurate and robust tests for indirect inference (Q2786372) (← links)
- Nonparametric Statistics and High/Infinite Dimensional Data (Q2787390) (← links)
- Bayesian nonlinear model selection for gene regulatory networks (Q2803473) (← links)
- Learning rates for the risk of kernel-based quantile regression estimators in additive models (Q2805231) (← links)
- Partially linear structure selection in Cox models with varying coefficients (Q2846441) (← links)
