Lately thinking how missing not-at-random huge prob for big data inferential research. (It haunts other methods too).pic.twitter.com/AMZTqhiDwA
Complex systems, wicked problems. Society, technology, science and more. @UNC professor. @NYTimes columnist. My newsletter is @insight: http://www.theinsight.org
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Lately thinking how missing not-at-random huge prob for big data inferential research. (It haunts other methods too).pic.twitter.com/AMZTqhiDwA
@zeynep which lets the analysis compute quality of arbitrary subsets of data independently (and weigh it, since contiguity is on a graph)
@zeynep this is for missing data points, though. Not missing/incomplete attribute reporting.
@nisanharamati There's an inherent "not at random" element in passive collection of data (all online scraping etc). Very hard problem.
@zeynep stylistic; it's because the error bars are either huge or infinite or unquantifiable.
@nisanharamati At the moment, undefined.
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