Inference for partial correlation when data are missing not at random
classification
🧮 math.ST
stat.TH
keywords
datainferencemissingpartialrandomregionsuncertaintywhen
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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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