140.649.01
Essentials of Probability and Statistical Inference IV
Location
East Baltimore
Term
4th Term
Department
Biostatistics
Credit(s)
4
Academic Year
2025 - 2026
Instruction Method
In-person
M, W, 3:30 - 4:50pm
Prerequisite
140.646-648 or 140.611-12 or 140.621-24 or 140.651-54 or 140.671-74; working knowledge of calculus
Enrollment Restriction
This course is not restricted.
Builds on the concepts discussed in 140.646, 140.647 and 140.648 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. Provides extended discussions, interpretation of results, and examples for illustration.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Describe the theoretical basis for the current methods used in statistical analysis
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 50% 4-5 problem sets
- 50% Final Exam
One 1-hour lab per week (time TBA)