Sparse nonparametric model for regression with functional covariate
From MaRDI portal
Publication:2832031
DOI10.1080/10485252.2016.1234050zbMath1348.62131OpenAlexW2521854266MaRDI QIDQ2832031
Germán Aneiros-Pérez, Philippe Vieu
Publication date: 4 November 2016
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2016.1234050
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)
Related Items (22)
Robust sparse functional regression model ⋮ On dimension reduction models for functional data ⋮ A consistent goodness-of-fit test for huge dimensional and functional data ⋮ Selection of time instants and intervals with support vector regression for multivariate functional data ⋮ Nonparametric modelling for functional data: selected survey and tracks for future ⋮ Functional envelope for model-free sufficient dimension reduction ⋮ Bayesian flexible beta regression model with functional covariate ⋮ Lasso in Infinite dimension: application to variable selection in functional multivariate linear regression ⋮ Sparse nonparametric model for the detection of impact points of a functional variable ⋮ On optimal regression trees to detect critical intervals for multivariate functional data ⋮ Recent advances in functional data analysis and high-dimensional statistics ⋮ An RKHS model for variable selection in functional linear regression ⋮ Optimal shrinkage estimator for high-dimensional mean vector ⋮ Semiparametric model average prediction in panel data analysis ⋮ Sparse clustering of functional data ⋮ Automatic and location-adaptive estimation in functional single-index regression ⋮ Asymptotic properties of concave \(L_1\)-norm group penalties ⋮ Comments on: ``Probability enhanced effective dimension reduction for classifying sparse functional data ⋮ On functional data analysis and related topics ⋮ Smoothly adaptively centered ridge estimator ⋮ Estimation for partial functional partially linear additive model ⋮ Interval-wise testing for functional data
Cites Work
- The Adaptive Lasso and Its Oracle Properties
- An introduction to recent advances in high/infinite dimensional statistics
- Variable selection for high-dimensional varying coefficient partially linear models via nonconcave penalty
- A partial overview of the theory of statistics with functional data
- Inference for functional data with applications
- Variable selection in infinite-dimensional problems
- Statistics for high-dimensional data. Methods, theory and applications.
- Factor models and variable selection in high-dimensional regression analysis
- Variable selection after screening: with or without data splitting?
- A partitioned single functional index model
- Partial linear modelling with multi-functional covariates
- Tight conditions for consistency of variable selection in the context of high dimensionality
- Variable selection in nonparametric additive models
- Fractals with point impact in functional linear regression
- High-dimensional additive modeling
- Variable selection in nonparametric regression with continuous covariates
- Choice of regressors in nonparametric estimation
- Variable selection in high-dimensional partially linear additive models for composite quantile regression
- Nonconcave penalized likelihood with a diverging number of parameters.
- Variable selection in a partially linear proportional hazards model with a diverging dimensionality
- Pivotal estimation via square-root lasso in nonparametric regression
- High-dimensional variable screening and bias in subsequent inference, with an empirical comparison
- Functional projection pursuit regression
- Rodeo: Sparse, greedy nonparametric regression
- Nonparametric functional data analysis. Theory and practice.
- Most-predictive design points for functional data predictors
- Presmoothing in functional linear regression
- Variable selection in partial linear regression with functional covariate
- k-Nearest Neighbour method in functional nonparametric regression
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Continuously additive models for nonlinear functional regression
- Functional Additive Models
- Model Selection and Estimation in Regression with Grouped Variables
This page was built for publication: Sparse nonparametric model for regression with functional covariate