Machine learning and artificial intelligence wouldn’t be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a revolutionary new method to analyze complex datasets that’s more flexible, accurate and easy to use.
, associate professor of statistics and data science, a shared department in the College of Agriculture and Life Sciences and the Cornell Ann S. Bowers College of Computing and Information Science, is lead author of “,” which published Oct. 1 in the Journal of the American Statistical Association. Co-author is Bohan Wu, now a Ph.D. student at Columbia University.
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