Test of Weak Separability for Spatially Stationary Functional Field
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Publication:6077552
DOI10.1080/01621459.2021.2002156arXiv2111.03252OpenAlexW3213020256MaRDI QIDQ6077552
Decai Liang, Yongtao Guan, Unnamed Author, Fang Yao
Publication date: 18 October 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2111.03252
Cites Work
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- Tests for separability in nonparametric covariance operators of random surfaces
- Estimation and testing for spatially indexed curves with application to ionospheric and magnetic field trends
- Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data
- Weakly dependent functional data
- Methodology and convergence rates for functional linear regression
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- Rates of weak convergence for images of measures by families of mappings
- Functional principal component analysis of spatially correlated data
- Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach
- A test for separability in covariance operators of random surfaces
- Consistency of the mean and the principal components of spatially distributed functional data
- Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments
- Functional data analysis.
- A likelihood ratio test for separability of covariances
- Testing for separability of spatial\,-\,temporal covariance functions
- Partially functional linear regression in high dimensions
- Testing the covariance structure of multivariate random fields
- Assessing the Significance of the Correlation between Two Spatial Processes
- Preservation of rates of convergence under mappings
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- Spatial Statistics and Spatio‐Temporal Data
- Theory for high-order bounds in functional principal components analysis
- Asymptotic Statistics
- A test of weak separability for multi-way functional data, with application to brain connectivity studies
- Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance
- Partial separability and functional graphical models for multivariate Gaussian processes
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Matérn Cross-Covariance Functions for Multivariate Random Fields
- A Nonparametric Assessment of Properties of Space–Time Covariance Functions
- OUP accepted manuscript
- On Properties of Functional Principal Components Analysis
- A Nonparametric Test for Spatial Isotropy Using Subsampling
- Functional Data Analysis for Sparse Longitudinal Data
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