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140.772.01 ADVANCED STATISTICAL THEORY II

Department: Biostatistics
Term: 2nd term
Credits: (4 credits)
Academic Year: 2012 - 2013
Course Instructor:
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.
Student Evaluation: Student evaluation based on one mid-term exam and one project per term.
Learning Objective:

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.
Location: Baltimore
Class Times:
  • Tuesday 1:30 - 2:50
  • Thursday 1:30 - 2:50
Enrollment Minimum: 2
Instructor Consent: No consent required
For consent, contact: dscharf@jhsph.edu
Prerequisite:

140.771
Grading Restriction: Letter Grade or Pass/Fail
Special Comments: Grade for 140.771 and 772 given at completion of 140.772