Variable selection in functional regression models: a review (Q2062803)

scientific article; zbMATH DE number 7451368

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English	Variable selection in functional regression models: a review	scientific article; zbMATH DE number 7451368

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instance of

scholarly article

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title

Variable selection in functional regression models: a review (English)

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Journal of Multivariate Analysis

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publication date

3 January 2022

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zbMATH Keywords

functional data analysis

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regression

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variable selection

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describes a project that uses

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full work available at URL

https://doi.org/10.1016/j.jmva.2021.104871

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cites work

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Cross-validated estimations in the single-functional index model

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Nonlinear regression modeling via regularized radial basis function networks

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Editorial for the special issue on functional data analysis and related topics

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Variable selection in partial linear regression with functional covariate

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Variable selection in infinite-dimensional problems

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Partial linear modelling with multi-functional covariates

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Comments on: ``Probability enhanced effective dimension reduction for classifying sparse functional data''

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An RKHS model for variable selection in functional linear regression

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Heuristics of instability and stabilization in model selection

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The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).

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Consistent variable selection for functional regression models

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Least angle regression. (With discussion)

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Sure Independence Screening for Ultrahigh Dimensional Feature Space

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A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)

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Nonconcave penalized likelihood with a diverging number of parameters.

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Variable selection in functional additive regression models

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Most-predictive design points for functional data predictors

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Nonparametric functional data analysis. Theory and practice.

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A Statistical View of Some Chemometrics Regression Tools

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Regressions by Leaps and Bounds

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Q4344410

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An introduction to recent advances in high/infinite dimensional statistics

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Properties of principal component methods for functional and longitudinal data analysis

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Inference of Genetic Networks from Time Course Expression Data Using Functional Regression with Lasso Penalty

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Asymptotic properties of bridge estimators in sparse high-dimensional regression models

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Variable selection in nonparametric additive models

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Robust shrinkage estimation and selection for functional multiple linear model through LAD loss

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Covariate assisted screening and estimation

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Functional linear regression with points of impact

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Factor models and variable selection in high-dimensional regression analysis

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Partially functional linear regression in high dimensions

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Q3431917

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Feature Screening via Distance Correlation Learning

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Shrinkage estimation and selection for multiple functional regression

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Quantile regression for functional partially linear model in ultra-high dimensions

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Variable and boundary selection for functional data via multiclass logistic regression modeling

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Sparse group lasso for multiclass functional logistic regression models

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Variable selection for functional regression models via the \(L_1\) regularization

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Fractals with point impact in functional linear regression

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High-dimensional additive modeling

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High-dimensional graphs and variable selection with the Lasso

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Using random subspace method for prediction and variable importance assessment in linear regression

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Peter Hall, functional data analysis and random objects

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Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables

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Functional data analysis.

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Identifiers

zbMATH Open document ID

1493.62293

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Mathematics Subject Classification ID

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10.1016/J.JMVA.2021.104871

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Sitelinks

Mathematics(1 entry)

mardi Publication:2062803