Adapted machine learning models will allow for better understanding of federal surveys

With the support of a three-year, $337,000 grant from the National Science Foundation, Assistant Professor of Statistics Paul Parker will develop statistical and machine learning methods to best suit the analysis of complex surveys produced by federal statistics agencies.