Pages that link to "Item:Q2181735"
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The following pages link to Testing for independence of high-dimensional variables: \(\rho V\)-coefficient based approach (Q2181735):
Displaying 9 items.
- The distance correlation \(t\)-test of independence in high dimension (Q391599) (← links)
- A significance test of the RV coefficient in high dimensions (Q1615268) (← links)
- A simple test for zero multiple correlation coefficient in high-dimensional normal data using random projection (Q2189584) (← links)
- On some consistent tests of mutual independence among several random vectors of arbitrary dimensions (Q2209730) (← links)
- Limit theorem associated with Wishart matrices with application to hypothesis testing for common principal components (Q2237828) (← links)
- Tests of zero correlation using modified RV coefficient for high-dimensional vectors (Q2321773) (← links)
- Independence tests with random subspace of two random vectors in high dimension (Q2692934) (← links)
- On varying-coefficient independence screening for high-dimensional varying-coefficient models (Q3195169) (← links)
- On high-dimensional tests for mutual independence based on Pearson’s correlation coefficient (Q5077444) (← links)
