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Little and Rubin (2002) introduced three major missing data mechanisms. If the cause of missingness is independent of data, missingness is called missing completely at random (MCAR). On the other...
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Although several approaches were developed for handling missing data, majority of them are only suitable to restore incomplete patterns which have random variation. When random variation exists...
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I have found imputation methods based on statistical analysis and imputation methods based on machine learning. However, I do not know whether I can use them safely to impute NaNs in non-Gaussian...
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