Covariance estimation error of incomplete functional data under RKHS framework
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Publication:2700392
DOI10.1016/j.amc.2022.127712OpenAlexW4311908631MaRDI QIDQ2700392
Publication date: 21 April 2023
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2022.127712
reproducing kernel Hilbert spacecovariance estimationmean square integrabilityfunctional data fragmentN resolution patched method
Cites Work
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- A partial overview of the theory of statistics with functional data
- Smoothing and mean-covariance estimation of functional data with a Bayesian hierarchical model
- Theory of reproducing kernels and applications
- When the data are functions
- Partially observed functional data: the case of systematically missing parts
- Recent advances in functional data analysis and high-dimensional statistics
- Mixture inner product spaces and their application to functional data analysis
- A splitting iterative method for solving second kind integral equations in reproducing kernel spaces
- Superconvergent kernel functions approaches for the second kind Fredholm integral equations
- Reproducing kernel Hilbert space compactification of unitary evolution groups
- A new reproducing kernel method with higher convergence order for solving a Volterra-Fredholm integral equation
- Partially functional linear regression in reproducing kernel Hilbert spaces
- Functional reproducing kernel Hilbert spaces for non-point-evaluation functional data
- Functional data clustering: a survey
- Nonparametric functional data analysis. Theory and practice.
- Nonlinear and additive principal component analysis for functional data
- Basic Stochastic Processes
- Functional Data Analysis with R and MATLAB
- On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification
- An elementary introduction to the Wiener process and stochastic integrals
- Nonparametric covariance estimation for mixed longitudinal studies, with applications in midlife women's health
- Local linear estimate of the point at high risk: Spatial functional data case
- Functional Sliced Inverse Regression in a Reproducing Kernel Hilbert Space: a Theoretical Connection to Functional Linear Regression
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- General construction of reproducing kernels on a quaternionic Hilbert space
- Components and Completion of Partially Observed Functional Data
- Recovering covariance from functional fragments
- Fast BivariateP-Splines: The Sandwich Smoother
- Theory of Reproducing Kernels
- Probability
- Stochastic processes and statistical inference
- Functional Principal Component Regression and Functional Partial Least‐squares Regression: An Overview and a Comparative Study
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