Pages that link to "Item:Q1043712"

The following pages link to High-dimensional additive modeling (Q1043712):

Displaying 50 items.

• Penalized kernel quantile regression for varying coefficient models (Q2059422) (← links)
• Variable selection in functional regression models: a review (Q2062803) (← links)
• Interpretable machine learning: fundamental principles and 10 grand challenges (Q2074414) (← links)
• Nonparametric variable screening for multivariate additive models (Q2079611) (← links)
• Nonparametric and high-dimensional functional graphical models (Q2106795) (← links)
• RCV-based error density estimation in the ultrahigh dimensional additive model (Q2133638) (← links)
• Extreme eigenvalues of nonlinear correlation matrices with applications to additive models (Q2145814) (← links)
• Nonparametric variable selection and its application to additive models (Q2183769) (← links)
• GRID: a variable selection and structure discovery method for high dimensional nonparametric regression (Q2196249) (← links)
• Nonparametric distributed learning under general designs (Q2199703) (← links)
• Composite quantile regression for ultra-high dimensional semiparametric model averaging (Q2242007) (← links)
• A sequential approach to feature selection in high-dimensional additive models (Q2242862) (← links)
• Robust feature screening for elliptical copula regression model (Q2274965) (← links)
• Rank reduction for high-dimensional generalized additive models (Q2274971) (← links)
• Additive models with trend filtering (Q2284363) (← links)
• Asymptotic properties of concave \(L_1\)-norm group penalties (Q2288785) (← links)
• Feature screening for ultrahigh-dimensional additive logistic models (Q2301064) (← links)
• Information based complexity for high dimensional sparse functions (Q2303421) (← links)
• Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
• Nonparametric screening under conditional strictly convex loss for ultrahigh dimensional sparse data (Q2313277) (← links)
• Sure independence screening in ultrahigh dimensional generalized additive models (Q2317245) (← links)
• Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean (Q2323942) (← links)
• Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging (Q2324328) (← 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)
• Structured estimation for the nonparametric Cox model (Q2340869) (← 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)
• A uniform framework for the combination of penalties in generalized structured models (Q2418291) (← links)
• PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting (Q2418515) (← 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)
• Nonparametric inference for additive models estimated via simplified smooth backfitting (Q2679229) (← links)
• Nonparametric Statistics and High/Infinite Dimensional Data (Q2787390) (← links)
• Bayesian nonlinear model selection for gene regulatory networks (Q2803473) (← links)
• Sparse nonparametric model for regression with functional covariate (Q2832031) (← links)
• Partially linear structure selection in Cox models with varying coefficients (Q2846441) (← links)
• Component selection in the additive regression model (Q2852624) (← links)
• Identification of partially linear structure in additive models with an application to gene expression prediction from sequences (Q2912335) (← links)
• (Q2953631) (← links)
• Non-asymptotic oracle inequalities for the Lasso and Group Lasso in high dimensional logistic model (Q2954238) (← links)
• RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs (Q3304859) (← links)
• A semiparametric model for matrix regression (Q3385484) (← links)
• Variable selection in partial linear regression with functional covariate (Q3462158) (← links)
• Nonparametric independence screening for ultra-high-dimensional longitudinal data under additive models (Q4559457) (← links)