Introduction to Statistical Methods in Learning and Modeling

Catalog description

Prerequisites: MATH 1320 , MATH 2000 and MATH 2450 . This course will introduce basic statistical principles and methods for modeling, inference, prediction and classification. The topics will be chosen from linear regression, basis expansion methods, kernel smoothing methods, model regularization, model selection and assessment, and other nonparametric methods. Credit cannot be earned for both MATH 4250 and MATH 5250 .