Statistical Theory for Data Science

Point estimation, confidence sets and hypothesis testing from both the Frequentistand Bayesian perspectives. Topics may also include power calculations, multiple comparisons, model selection and randomized experimentation. Not open to students who are taking or who have received credit for MATH 641.