A two-sample test for the equality of univariate marginal distributions for high-dimensional data
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Publication:2008229
DOI10.1016/j.jmva.2019.104537zbMath1428.62247OpenAlexW2967242990MaRDI QIDQ2008229
Marta Cousido-Rocha, Jeffrey D. Hart, Jacobo de Uña-Álvarez
Publication date: 22 November 2019
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2019.104537
Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Hypothesis testing in multivariate analysis (62H15)
Related Items (3)
Testing equality of a large number of densities under mixing conditions ⋮ Testing symmetry for bivariate copulas using Bernstein polynomials ⋮ Strong law of large numbers for functionals of random fields with unboundedly increasing covariances
Cites Work
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- A nonparametric two-sample test applicable to high dimensional data
- Likelihood ratio tests for covariance matrices of high-dimensional normal distributions
- On testing the equality of high dimensional mean vectors with unequal covariance matrices
- On convergence properties of sums of dependent random variables under second moment and covariance restrictions
- On high dimensional two-sample tests based on nearest neighbors
- Non-parametric \(k\)-sample tests: density functions vs distribution functions
- Basic properties of strong mixing conditions. A survey and some open questions
- A test for the two-sample problem based on empirical characteristic functions
- Corrections to LRT on large-dimensional covariance matrix by RMT
- The use of subseries values for estimating the variance of a general statistic from a stationary sequence
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- Testing for affine equivalence of elliptically symmetric distributions.
- A test for equality of two distributions via jackknife empirical likelihood and characteristic functions
- The control of the false discovery rate in multiple testing under dependency.
- Nonlinear time series. Nonparametric and parametric methods
- Rescaled variance and related tests for long memory in volatility and levels
- Higher criticism for detecting sparse heterogeneous mixtures.
- The bootstrap of the mean for strong mixing sequences under minimal conditions
- On the asymptotic normality of sequences of weak dependent random variables
- Testing equality of a large number of densities under mixing conditions
- A two-sample test for high-dimensional data with applications to gene-set testing
- Properties of higher criticism under strong dependence
- Testing equality of a large number of densities
- A distribution-free two-sample run test applicable to high-dimensional data
- Tests for the multivariatek-sample problem based on the empirical characteristic function
- Automatic Block-Length Selection for the Dependent Bootstrap
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