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STAT519

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Bayesian Statistics

Mathematics and Statistics SC - Faculty of Science

Subject

STAT - Statistics

Description

Fundamentals of Bayesian inference, single and multiparameter models, hierarchical models, regression models, generalized linear models, advanced computational methods, Markov chain Monte Carlo.

Prerequisite(s): Statistics 323; and Mathematics 267 or 277.

Antirequisite(s): Credit for Statistics 519 and 619 will not be allowed.

Course Attributes

Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-0)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

STAT

Understanding Course Information

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