Statistics (STAT) Courses>Topics in Applied Statistics

STAT454 - Topics in Applied Statistics

Description

Possible topics include: Bayesian statistics, bioinformatics, biostatistics, clustering methods, longitudinal data analysis, mixture models, robust statistics, spatial statistics, sampling theory and methods, statistics for imaging, and statistical computing. Information on the topics available in any given year may be obtained from the department.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Repeatable for credit

May be taken more than once for credit in different topics with permission of the department.

Prerequisites

  • Permission of the department.

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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