Empirical likelihood method for complete independence test on high-dimensional data
Empirical likelihood method for complete independence test on high-dimensional data
Given a random sample of size n from a p dimensional random vector, we are interested in testing whether the p components of the random vector are mutually independent. This is the so-called complete independence test. In the multivariate normal case, it is equivalent to testing whether the correlation matrix …