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140.772.01
Advanced Statistical Theory

Discontinued

Location:
East Baltimore
Term:
2nd term
Department:
Biostatistics
Credits:
4 credits
Academic Year:
2022 - 2023
Instruction Method:
TBD
Class Times:
  • Tu Th,  1:30 - 2:50pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
  • Daniel Scharfstein
Contact:
Daniel Scharfstein
Frequency Schedule:
Every Other Year
Resources:
Prerequisite:

140.731-34

Description:

Focuses on drawing large sample inferences about "parameters" in statistical models. Discusses formal techniques for constructing estimators in semi-parametric models. Guest lecturers present special topics. Involves rigorous mathematical arguments so that familiarity with concepts in advanced calculus, real analysis, and measure theory are required.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Understand the foundations of semiparametricinference.
Methods of Assessment:

3 homeworks (25% each), 1 final project (25%).

Instructor Consent:

Consent required for all students

Consent Note:

Consent required for all students

For consent, contact:

dscharf@jhsph.edu