STAT 6391 Topics in Statistics
This course offers an advanced exploration of selected topics in statistics at the master’s level. Topics vary by semester and may include, but are not limited to, statistical inference, multivariate analysis, Bayesian methods, nonparametric statistics, computational statistics, data mining, or statistical learning. Emphasis is placed on both the theoretical foundations and practical applications of modern statistical methods. Students will engage in data analysis, model development, and critical evaluation of current research to deepen their understanding of statistical reasoning and methodology.
Prerequisite
Consent of the Instructor.