Math 542 Mathematical Statistics (Graduate)
The focus of this course is maximum likelihood estimation and inference. This powerful, widely applicable methodology underlies the classical methods taught in introductory statistics courses- one and two-sample z-tests and linear regression, for example – and many other, more modern methods.
Prerequisite: Math 541/441 Probability Theory or equivalent, i.e., a semester-long upper-level introductory probability course, and familiarity with partial differentiation.
Math 511 Theory of Numbers (Spring 2020)
Math 604 Euclidean Concepts of Geometry (Summer I 2020)
Math 541 Probability (Fall 2020)
Math 542 Mathematical Statistics (Spring 2021)
Math 512 Abstract Algebra (Summer I 2021)