Estimating the Covariance of Fragmented and Other Related Types of Functional Data
From MaRDI portal
Publication:6040698
DOI10.1080/01621459.2020.1723597zbMath1510.62488OpenAlexW3006279393MaRDI QIDQ6040698
Unnamed Author, Hall, Peter, Aurore Delaigle, Alois Kneip
Publication date: 22 May 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/dataset/Estimating_the_covariance_of_fragmented_and_other_related_types_of_functional_data/11848377
Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Missing data (62D10)
Related Items
Functional linear model with partially observed covariate and missing values in the response, Robust Inference for Partially Observed Functional Response Data, Intrinsic Riemannian functional data analysis for sparse longitudinal observations, Functional principal component analysis for partially observed elliptical process, Testing linear operator constraints in functional response regression with incomplete response functions, Estimation of the nonparametric mean and covariance functions for multivariate longitudinal and sparse functional data, A data-adaptive dimension reduction for functional data via penalized low-rank approximation, The completion of covariance kernels
Cites Work
- Unnamed Item
- High-dimensional covariance matrix estimation with missing observations
- High-dimensional regression with noisy and missing data: provable guarantees with nonconvexity
- Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data
- Partially observed functional data: the case of systematically missing parts
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Functional Linear Discriminant Analysis for Irregularly Sampled Curves
- Clustering for Sparsely Sampled Functional Data
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
- Components and Completion of Partially Observed Functional Data
- Approximating fragmented functional data by segments of Markov chains
- Classification Using Censored Functional Data
- Recovering covariance from functional fragments
- Fast BivariateP-Splines: The Sandwich Smoother
- Functional Data Analysis for Sparse Longitudinal Data