140.649.41
Essentials of Probability and Statistical Inference IV
- Location:
- Internet
- Term:
- 4th term
- Department:
- Biostatistics
- Credits:
- 4 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- Synchronous Online
- Class Times:
-
- M W, 10:30 - 11:50am
- Auditors Allowed:
- Yes, with instructor consent
- 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:
- 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:
- 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).