Skip Navigation

Course Directory

140.649.41
Essentials of Probability and Statistical Inference IV

Location:
East Baltimore
Term:
4th term
Department:
Biostatistics
Credits:
4 credits
Academic Year:
2022 - 2023
Instruction Method:
Hybrid In-person and Synchronous Online
Class Times:
  • M W,  10:30 - 11:50am
Auditors Allowed:
No
Undergrads Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Contact:
Ni Zhao
Resources:
Prerequisite:

140.646-648 or 140.611-12 or 140.621-24 or 140.651-54 or 140.671-74; working knowledge of calculus

Description:

Builds on the concepts discussed in 140.646 and 140.647 to lay out foundation for both classical and modern theory/methods for drawing statistical inference. Includes classical unbiased estimation, unbiased estimating equations, likelihood and conditional likelihood inference, information theory and other extended topics. Includes mathematical proofs but will not emphasize highly technical details. Extended discussion, interpretation of results, and examples for illustration will be provided.

Learning Objectives:

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

  1. Describe the theoretical basis for the current methods used in statistical analysis
Methods of Assessment:

This course is evaluated as follows:

  • 50% 4-5 problem sets 50%
  • 50% Final Exam

Instructor Consent:

Consent required for some students

Consent Note:

Consent required only for students who

have not taken 140.646, 140.647, and 140.648

For consent, contact:

nzhao10@jhu.edu

Special Comments:

Please note: This is the virtual/online section of a course that is also offered onsite. Students will need to commit to the modality for which they register. One 1-hour lab per week (time TBA).