140.772.01
Advanced Statistical Theory II

Location
East Baltimore
Term
2nd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2012 - 2013
Instruction Method
TBD
Class Time(s)
Tu, Th, 1:30 - 2:50pm
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Daniel Scharfstein
Contact Name
Daniel Scharfstein
Frequency Schedule
Every Year
Prerequisite

140.771

Description
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.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Discuss properties of maximum likelihood estimation
  2. Discuss properties of estimation under fewer assumptions
  3. Discuss further advantages and limitations of using axiomatic inference
Instructor Consent
No consent required
Special Comments

Grade for 140.771 and 772 given at completion of 140.772