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Optimal Rates for Functional Linear Regression with General Regularization

https://doi.org/10.2139/ssrn.4868798
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An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
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Analysis of regularized least squares for functional linear regression model
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Functional linear regression with Huber loss
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Functional linear regression with functional response
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On rates of convergence in functional linear regression
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Functional linear model
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Learning Theory
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Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
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Faster convergence rate for functional linear regression in reproducing kernel Hilbert spaces
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Theory of reproducing kernels
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Generalized Linear Models with Functional Predictors
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Some Tools for Functional Data Analysis
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Structured Functional Additive Regression in Reproducing Kernel Hilbert Spaces
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Functional Regression
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Functional Data Analysis
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Introduction to Functional Data Analysis
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Generalized functional linear models
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Prediction in functional linear regression
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Methodology and convergence rates for functional linear regression
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A reproducing kernel Hilbert space approach to functional linear regression
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Functional single index models for longitudinal data
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Single and multiple index functional regression models with nonparametric link
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Nonparametric inference in generalized functional linear models
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Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
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