Honestly, I think that we're coming at this from very different perspectives. Single imputation is garbage for accurate inference, as it reduces variance and t

Honestly, I think that we're coming at this from very different perspectives. Single imputation is garbage for accurate inference, as it reduces variance and thus confidence intervals as P(missing) increases. MI is a useful method for alleviating this bias (though at the cost of a lot more compute). That's why it gets used, and it's performed extremely well in real world analyses for basically my entire life (and I'm middle-aged now). > especially in the unsupervised context. I wouldn't use MI in an unsupervised context (but maybe some people do).