Functional test for high-dimensional covariance matrix, with application to mitochondrial calcium concentration
From MaRDI portal
Publication:2065270
DOI10.1007/s00362-019-01133-8zbMath1477.62145OpenAlexW2976987538MaRDI QIDQ2065270
Tao Zhang, Yan-ling Wan, Zhi-wen Wang
Publication date: 7 January 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-019-01133-8
Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Analysis of variance and covariance (ANOVA) (62J10)
Related Items
Weight fused functional sliced average variance estimation ⋮ Testing high-dimensional mean vector with applications. A normal reference approach
Cites Work
- Unnamed Item
- Unnamed Item
- A test for the equality of covariance matrices when the dimension is large relative to the sample sizes
- Two sample tests for high-dimensional covariance matrices
- Robust functional sliced inverse regression
- Recent advances in functional data analysis and related topics. Selected papers based on the presentations at the international workshop on functional and operatorial statistics (IWFOS'2011), Santander, Spain, June 16--18, 2011.
- Testing the equality of several covariance matrices with fewer observations than the dimension
- Common functional principal components
- Corrections to LRT on large-dimensional covariance matrix by RMT
- Unbiasedness of the likelihood ratio tests for equality of several covariance matrices and equality of several multivariate normal populations
- Linear processes in function spaces. Theory and applications
- Robustness and power of parametric, nonparametric, robustified and adaptive tests -- the multi-sample location problem
- Hypothesis testing for high-dimensional covariance matrices
- Distribution of likelihood ratio statistic for testing equality of covariance matrices of multivariate Gaussian models
- Testing the Equality of Covariance Operators in Functional Samples
- Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings
- Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles
- Tests for High-Dimensional Covariance Matrices
- Stringing High-Dimensional Data for Functional Analysis
- Analysis of Variance for Functional Data
- A Two-Sample Test for Equality of Means in High Dimension
- Components and Completion of Partially Observed Functional Data
- One‐Way <scp>anova</scp> for Functional Data via Globalizing the Pointwise F‐test
This page was built for publication: Functional test for high-dimensional covariance matrix, with application to mitochondrial calcium concentration
