Abstract
This article derives and examines the screened correlation obtained by applying a screening scheme to a scale mixture of multivariate normal distributions. We investigate and quantify the effects of the screening scheme on correlations and consider some properties and inferential aspects of the screened correlation while developing necessary theories and providing illustrative examples. The results indicate that the screening scheme is a useful technique for multivariate interdependence methods, particularly for addressing the problem of a lack of correlation.
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