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Structured Functional Additive Regression in Reproducing Kernel Hilbert Spaces

https://doi.org/10.1111/rssb.12036

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Generalized Additive Models

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The Elements of Statistical Learning

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Reproducing Kernel Hilbert Spaces in Probability and Statistics

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Local Polynomial Modelling and its Applications

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Functional Data Analysis

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Variable-weighted PLS

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Practical variable selection for generalized additive models

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Asymptotic distributions of nonparametric regression estimators for longitudinal or functional data

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Functional principal component model for high-dimensional brain imaging

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Functional linear model

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Some Cautionary Notes on the Use of Principal Components Regression

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Local Polynomial Modelling and its Applications

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Functional quadratic regression

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Testing Hypotheses in the Functional Linear Model

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Two-step Estimation of Functional Linear Models with Applications to Longitudinal Data

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Sparse Additive Models

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A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors

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Regression Shrinkage and Selection Via the Lasso

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Spline Models for Observational Data

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Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

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Functional Data Analysis for Sparse Longitudinal Data

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Prediction by Supervised Principal Components

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The Adaptive Lasso and Its Oracle Properties

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Functional Additive Models

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Empirical Processes in M-Estimation

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Generalized Functional Linear Models With Semiparametric Single-Index Interactions

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Penalized Functional Regression

inferredcites →https://doi.org/10.1201/9781420010404openalex-snapshot

Generalized Additive Models

inferredcites →https://doi.org/10.1214/009053604000001156openalex-snapshot

Generalized functional linear models

inferredcites →https://doi.org/10.1214/009053606000000272openalex-snapshot

Properties of principal component methods for functional and longitudinal data analysis

inferredcites →https://doi.org/10.1214/009053606000000722openalex-snapshot

Component selection and smoothing in multivariate nonparametric regression

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Functional linear regression that’s interpretable

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High-dimensional additive modeling

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Spline Models for Observational Data.

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Generalized Additive Models.

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Generalized Additive Models.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Optimal Rates for Functional Linear Regression with General Regularization

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Distance‐weighted discrimination for functional data

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Nonparametric Methods for Big Data Analytics

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Additive functional regression in reproducing kernel Hilbert spaces under smoothness condition

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Estimation in functional additive models for high-dimensional functional data

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Regression with I-priors

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Predictive functional linear models with diverging number of semiparametric single-index interactions

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Sparse estimation for functional semiparametric additive models

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Reduced rank modeling for functional regression with functional responses

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An association test for functional data based on Kendall’s Tau

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Inference in functional linear quantile regression

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Functional additive expectile regression in the reproducing kernel Hilbert space

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Sparse functional varying-coefficient mixture regression

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