Pages that link to "Item:Q5130640"
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The following pages link to A Simple Two-Sample Test in High Dimensions Based on <i>L</i><sup>2</sup>-Norm (Q5130640):
Displaying 35 items.
- Two-sample Behrens-Fisher problems for high-dimensional data: a normal reference approach (Q830717) (← links)
- Linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA: a normal reference \(L^2\)-norm based test (Q2057832) (← links)
- An overview of tests on high-dimensional means (Q2062768) (← links)
- Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches (Q2062798) (← links)
- A further study on Chen-Qin's test for two-sample Behrens-Fisher problems for high-dimensional data (Q2074641) (← links)
- A new normal reference test for linear hypothesis testing in high-dimensional heteroscedastic one-way MANOVA (Q2076144) (← links)
- Spatial rank-based high-dimensional change point detection via random integration (Q2078581) (← links)
- Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach (Q2135840) (← links)
- A high-dimensional test on linear hypothesis of means under a low-dimensional factor model (Q2142461) (← links)
- Testing high-dimensional mean vector with applications. A normal reference approach (Q2165834) (← links)
- Two-sample test for equal distributions in separate metric space: New maximum mean discrepancy based approaches (Q2169833) (← links)
- A \(U\)-statistic approach for a high-dimensional two-sample mean testing problem under non-normality and Behrens-Fisher setting (Q2434134) (← links)
- High-dimensional MANOVA under weak conditions (Q5004986) (← links)
- A revisit to Bai–Saranadasa's two-sample test (Q5030936) (← links)
- A two-sample test based on cluster subspaces for equality of mean vectors in high dimension (Q5040246) (← links)
- Hypothesis Testing in High-Dimensional Linear Regression: A Normal Reference Scale-Invariant Test (Q5041337) (← links)
- Two-sample Testing in High Dimensions (Q5378162) (← links)
- Consistency of \(p\)-norm based tests in high dimensions: characterization, monotonicity, domination (Q6103258) (← links)
- Linear Hypothesis Testing in Linear Models With High-Dimensional Responses (Q6110696) (← links)
- Likelihood ratio tests for elaborate covariance structures and for MANOVA models with elaborate covariance structures -- a review (Q6149605) (← links)
- Limiting distributions of graph-based test statistics on sparse and dense graphs (Q6178584) (← links)
- Robust high-dimensional tuning free multiple testing (Q6183774) (← links)
- A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors (Q6185128) (← links)
- Testing equality of several distributions in separable metric spaces: a maximum mean discrepancy based approach (Q6190961) (← links)
- A stable and adaptive polygenic signal detection method based on repeated sample splitting (Q6490387) (← links)
- The Cauchy Combination Test under Arbitrary Dependence Structures (Q6562766) (← links)
- Two-sample mean vector projection test in high-dimensional data (Q6567438) (← links)
- A scale-invariant test for linear hypothesis of means in high dimensions (Q6581340) (← links)
- Asymptotic independence of the sum and maximum of dependent random variables with applications to high-dimensional tests (Q6593385) (← links)
- A new maximum mean discrepancy based two-sample test for equal distributions in separable metric spaces (Q6606979) (← links)
- Two-sample test for high-dimensional covariance matrices: a normal-reference approach (Q6615372) (← links)
- An adaptive weighted component test for high-dimensional means (Q6621345) (← links)
- Tests for high-dimensional generalized linear models under general covariance structure (Q6626685) (← links)
- Two-sample Behrens-Fisher problems for high-dimensional data: a normal reference \(F\)-type test (Q6661263) (← links)
- Power boosting: fusion of multiple test statistics via resampling (Q6671918) (← links)
