A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity
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Publication:6077580
DOI10.1080/01621459.2021.2020126arXiv2009.11452OpenAlexW3088436946MaRDI QIDQ6077580
Raymond K. W. Wong, Xiaoke Zhang, Rui Miao
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/2009.11452
Hilbert spaceBesov spacesreproducing kernelpermutation testdense functional datahuman connectome project
Cites Work
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- Measuring and testing dependence by correlation of distances
- Equivalence of distance-based and RKHS-based statistics in hypothesis testing
- The distance correlation \(t\)-test of independence in high dimension
- Canonical correlation for stochastic processes
- Estimation and inference in functional mixed-effects models
- Weighted empirical likelihood inference for dynamical correlations
- Local and global temporal correlations for longitudinal data
- Functional canonical analysis for square integrable stochastic processes
- Function estimation via wavelet shrinkage for long-memory data
- Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
- Nonparametric and high-dimensional functional graphical models
- Canonical correlation analysis for irregularly and sparsely observed functional data
- Model checks for functional linear regression models based on projected empirical processes
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Empirical Bayes selection of wavelet thresholds
- Functional Mixed Effects Models
- A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI
- Testing for lack of dependence in the functional linear model
- Wavelet decomposition approaches to statistical inverse problems
- Ten Lectures on Wavelets
- Weak convergence to fractional brownian motion and to the rosenblatt process
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Partial separability and functional graphical models for multivariate Gaussian processes
- Testing conditional mean independence for functional data
- Doubly functional graphical models in high dimensions
- Functional Graphical Models
- Wavelets in Functional Data Analysis
- Dynamical Correlation for Multivariate Longitudinal Data
- Copula Gaussian Graphical Models for Functional Data
- Discussion of: Brownian distance covariance
- Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis
