Pages that link to "Item:Q1996774"
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The following pages link to Distance-based and RKHS-based dependence metrics in high dimension (Q1996774):
Displaying 17 items.
- Interpoint distance based two sample tests in high dimension (Q2040058) (← links)
- Asymptotic distributions of high-dimensional distance correlation inference (Q2054473) (← links)
- A new framework for distance and kernel-based metrics in high dimensions (Q2074298) (← links)
- Distance covariance for random fields (Q2145778) (← links)
- Testing for independence of high-dimensional variables: \(\rho V\)-coefficient based approach (Q2181735) (← links)
- Independence tests with random subspace of two random vectors in high dimension (Q2692934) (← links)
- Marginal Distance and Hilbert-Schmidt Covariances-Based Independence Tests for Multivariate Functional Data (Q5076363) (← links)
- Eigenvalue Distribution of a High-Dimensional Distance Covariance Matrix With Application (Q6039863) (← links)
- Generalization of the HSIC and distance covariance using PDI kernels (Q6048904) (← links)
- Asymptotic normality of Gini correlation in high dimension with applications to the \(K\)-sample problem (Q6184886) (← links)
- Rank-based indices for testing independence between two high-dimensional vectors (Q6192324) (← links)
- Statistical Inferences for Complex Dependence of Multimodal Imaging Data (Q6567943) (← links)
- Application of distance standard deviation in functional data analysis (Q6613897) (← links)
- Asymptotic Distribution-Free Independence Test for High-Dimension Data (Q6631679) (← links)
- A conditional distribution function-based measure for independence and \(K\)-sample tests in multivariate data (Q6656673) (← links)
- A class of robust independence tests based on weighted integrals of empirical characteristic functions (Q6661066) (← links)
- A slicing-free perspective to sufficient dimension reduction: selective review and recent developments (Q6663974) (← links)
