140.773.01
Foundations of Statistical Inference I
Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
4
Academic Year
2024 - 2025
Instruction Method
In-person
Tu, Th, 1:30 - 2:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Contact Name
Frequency Schedule
Every Other Year
Resources
Prerequisite
140.772
Investigates the foundations of statistics as applied to assessing the evidence provided by an observed set of data. Topics include: law of likelihood, the likelihood principle, evidence and the likelihood paradigm for statistical inference; failure of the Neyman-Pearson and Fisherian theories to evaluate evidence; marginal, conditional, profile and other likelihoods; and applications to common problems of inference.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Compare and criticize the basic paradigms of statistical inference
- Formulate and contrast concepts of statistical evidence
Methods of Assessment
This course is evaluated as follows:
- 100% Presentation/critique of a recent paper on the foundations/philosophy of statistics