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Inference for partial correlation when data are missing not at random
Tetiana Gorbach, Xavier de Luna · 2017-10-12 · via math.ST updates on arXiv.org

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.

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