Minimizing MSE for imputation reduces data variability and introduces systematic biases in downstream parameters, which adding noise proportional to the MSE can remove.
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Predicting missing values: A good idea?
Minimizing MSE for imputation reduces data variability and introduces systematic biases in downstream parameters, which adding noise proportional to the MSE can remove.