A note on high-dimensional two-sample test
From MaRDI portal
Publication:894570
DOI10.1016/j.spl.2015.05.017zbMath1327.62352OpenAlexW863497847MaRDI QIDQ894570
Publication date: 1 December 2015
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2015.05.017
Related Items (12)
Testing linear hypothesis of high-dimensional means with unequal covariance matrices ⋮ Hotelling's \(T^2\) in separable Hilbert spaces ⋮ High-dimensional general linear hypothesis testing under heteroscedasticity ⋮ High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data ⋮ Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference scale-invariant test ⋮ A high‐dimensional inverse norm sign test for two‐sample location problems ⋮ A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors ⋮ Linear hypothesis testing in high-dimensional one-way MANOVA ⋮ A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices ⋮ A high-dimensional spatial rank test for two-sample location problems ⋮ Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches ⋮ High-dimensional MANOVA under weak conditions
Cites Work
- Unnamed Item
- A two sample test in high dimensional data
- Two sample tests for high-dimensional covariance matrices
- On high-dimensional sign tests
- A high-dimensional two-sample test for the mean using random subspaces
- A test for the mean vector in large dimension and small samples
- High-dimensional tests for spherical location and spiked covariance
- A two-sample test for high-dimensional data with applications to gene-set testing
- A \(U\)-statistic approach for a high-dimensional two-sample mean testing problem under non-normality and Behrens-Fisher setting
- Tests alternative to higher criticism for high-dimensional means under sparsity and column-wise dependence
- A test for the mean vector with fewer observations than the dimension
- Two-sample behrens-fisher problem for high-dimensional data
- Two-Sample Test of High Dimensional Means Under Dependence
This page was built for publication: A note on high-dimensional two-sample test
