140.772.01 ADVANCED STATISTICAL THEORY II
Examines statistics as a discipline along the path towards making decisions. First examines the justification of statistics from axioms on informed preferences and its close connection to Bayesian theory, and then examines the role of standardizing intermediate steps, through various additional restrictions on estimation, and studies the properties of the resulting methods.
Upon successful completion of this course, students will be able to: 1) understand properties of maximum likelihood estimation; 2) understand properties of estimation under fewer assumptions; 3) understand further advantages and limitations of using axiomatic inference.
Upon successfully completing this course, students will be able to:
Discuss properties of maximum likelihood estimation
Discuss properties of estimation under fewer assumptions
Discuss further advantages and limitations of using axiomatic inference
- Tuesday 1:30 - 2:50
- Thursday 1:30 - 2:50