The following pages link to High-dimensional sparse MANOVA (Q406532):
Displaying 32 items.
- Linear hypothesis testing in high-dimensional one-way MANOVA (Q512013) (← links)
- On testing the equality of high dimensional mean vectors with unequal covariance matrices (Q520564) (← links)
- A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices (Q525878) (← links)
- Testing and support recovery of multiple high-dimensional covariance matrices with false discovery rate control (Q1694484) (← links)
- Limiting behavior of eigenvalues in high-dimensional MANOVA via RMT (Q1991686) (← links)
- Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: a normal reference \(L^2\)-norm based test (Q2057832) (← links)
- Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches (Q2062798) (← links)
- A high-dimensional test for multivariate analysis of variance under a low-dimensional factor structure (Q2100126) (← links)
- Novel multiplier bootstrap tests for high-dimensional data with applications to MANOVA (Q2101406) (← links)
- Moderate deviation principle for likelihood ratio test in multivariate linear regression model (Q2111071) (← links)
- Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach (Q2135840) (← links)
- Testing linear hypothesis of high-dimensional means with unequal covariance matrices (Q2151597) (← links)
- High-dimensional general linear hypothesis tests via non-linear spectral shrinkage (Q2203614) (← links)
- Comparing a large number of multivariate distributions (Q2214253) (← links)
- Testing regression coefficients in high-dimensional and sparse settings (Q2244668) (← links)
- Sign-based test for mean vector in high-dimensional and sparse settings (Q2287782) (← links)
- A test for the \(k\) sample Behrens-Fisher problem in high dimensional data (Q2317297) (← links)
- Test on the linear combinations of mean vectors in high-dimensional data (Q2398084) (← links)
- High-dimensional general linear hypothesis testing under heteroscedasticity (Q2407078) (← links)
- Two-sample and ANOVA tests for high dimensional means (Q2414093) (← links)
- Tests for a Multiple-Sample Problem in High Dimensions (Q2815361) (← links)
- (Q5004041) (← links)
- High-dimensional MANOVA under weak conditions (Q5004986) (← links)
- High-dimensional rank-based inference (Q5114476) (← links)
- Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension (Q5155185) (← links)
- Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data (Q5231497) (← links)
- Test for mean matrix in GMANOVA model under heteroscedasticity and non-normality for high-dimensional data (Q6050285) (← links)
- High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data (Q6107199) (← links)
- Likelihood ratio tests for elaborate covariance structures and for MANOVA models with elaborate covariance structures -- a review (Q6149605) (← links)
- Sparse signal detection in heteroscedastic Gaussian sequence models: sharp minimax rates (Q6565316) (← links)
- Multi-sample hypothesis testing of high-dimensional mean vectors under covariance heterogeneity (Q6580098) (← links)
- Homogeneity tests for high-dimensional mean vectors and covariance matrices (Q6621347) (← links)
