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Course Catalog

140.772.01 ADVANCED STATISTICAL THEORY II

Department:
Biostatistics
Term:
2nd term
Credits:
4 credits
Academic Year:
2013 - 2014
Location:
East Baltimore
Class Times:
  • Tu Th,  1:30 - 2:50pm
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Daniel Scharfstein
Course Instructor:

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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
Methods of Assessment:

Student evaluation based on one mid-term exam and one project per term.

Multiterm:
Instructor Consent:

No consent required

Special Comments:

Grade for 140.771 and 772 given at completion of 140.772