EDRS 829: Bayesian Methods
Important: For the most up-to-date information, refer to the official George Mason Course Catalog
General Information
Credits: 3
Description:
Develops knowledge and skills of the Bayesian perspective, a contemporary approach to quantitative analysis. Explores the applications for the Bayesian perspective on data analysis and inference for researchers and practitioners in the social and behavioral sciences. Offered by School of Education. May not be repeated for credit.
Registration Restrictions:
Required Prerequisite: EDRS 821B-.
B- Requires minimum grade of B-.
Enrollment limited to students with a class of Advanced to Candidacy or Graduate.
Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
This course is graded on the Graduate Regular scale.