Inference for partial correlation when data are missing not at random

10/12/2017

∙

by   Tetiana Gorbach, et al.

∙

0

∙

share

We introduce uncertainty regions to perform inference on partial correlations when data are missing not at random. These uncertainty regions are shown to have a desired asymptotic coverage. Their finite sample performance is illustrated via simulations and real data example.