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STAT701

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Theory of Probability I

Mathematics and StatisticsSC - Faculty of Science

Subject

STAT - Statistics

Description

Probability spaces, integration, expected value, laws of large numbers, weak convergence, characteristic functions, central limit theorems, limit theorems in Rd, conditional expectation, introduction to martingales.

Prerequisite(s): Admission to a graduate program in Mathematics and Statistics or consent of the Department.

GFC Hours

(3-0)

Domestic Fee Rate Group

A

International Fee Rate Group

B

Signature Learning

Research & Creative Scholarship

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