140.649.01
Essentials of Probability and Statistical Inference IV

Location
East Baltimore
Term
4th Term
Department
Biostatistics
Credit(s)
4
Academic Year
2023 - 2024
Instruction Method
In-person
Class Time(s)
M, W, 3:30 - 4:50pm
Auditors Allowed
Yes, with instructor consent
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

140.646-648 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% 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
Consent Contact
dscharf@jhu.edu
Special Comments

One 1-hour lab per week (time TBA)