Guan Yu, a PhD candidate at The University of North Carolina at Chapel Hill, is this year’s recipient of the Young Statisticians in Business and Industry Award. The award recognizes the best paper, based on both content and delivery, presented by an early career researcher at the International Symposium on Business and Industrial Statistics Conference, which was held in June in Durham, North Carolina. The conference is hosted by the International Statistical Institute.
Yu’s paper is titled “Sparse Regression Incorporating Graphical Structure Among Predictors.” The paper focuses on using the structure information among predictors to improve sparse regression models. This structure information can be modeled by the connectivity of an undirected graph.
Yu was awarded $500 for his paper by the National Institute of Statistical Sciences and the ASA.