Semiparametric Statistics

3 credits · Undergraduate Emory College

Machine learning (ML) models make predictions, but prediction is only half the data story. Even cutting-edge ML algorithms are imperfect: they make mistakes, large and small. How do we quantity this uncertainty? When will multi-stage procedures converge in large samples? How accurate can they be?