STAT0712A-S24
Advanced Hierarchical Modeling
Advanced Hierarchical Modeling (formerly MATH 0712)
Hierarchical or multilevel models provide a principled way to model data that are naturally grouped in order to take advantage of the relationship between observations in the same group, but also allow for borrowing of information across groups. In this senior seminar, we will introduce a variety of multilevel models, with a balance between the theoretical and conceptual foundations, as well as implementation and interpretation of the results. This seminar will focus on multilevel linear and logistic models. Every student will write a senior capstone paper. (MATH 311 or STAT 0311; MATH 412 or STAT 0412 suggested)
Hierarchical or multilevel models provide a principled way to model data that are naturally grouped in order to take advantage of the relationship between observations in the same group, but also allow for borrowing of information across groups. In this senior seminar, we will introduce a variety of multilevel models, with a balance between the theoretical and conceptual foundations, as well as implementation and interpretation of the results. This seminar will focus on multilevel linear and logistic models. Every student will write a senior capstone paper. (MATH 311 or STAT 0311; MATH 412 or STAT 0412 suggested)
- Term:
- Spring 2024
- Location:
- Warner Hall 104(WNS 104)
- Schedule:
- 12:45pm-2:00pm on Tuesday, Thursday (Feb 12, 2024 to May 13, 2024)
- Type:
- Seminar
- Course Modality:
- In-Person
- Instructors:
- Becky Tang
- Subject:
- Statistics
- Department:
- Mathematics & Statistics
- Division:
- Natural Sciences
- Requirements Fulfilled:
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 22639
- Subject Code:
- STAT
- Course Number:
- 0712
- Section Identifier:
- A