|MATH 587 - Advanced Probability Theory 1.|
Probability spaces. Random variables and their expectations. Convergence of random variables in Lp. Independence and conditional expectation. Introduction to Martingales. Limit theorems including Kolmogorov's Strong Law of Large Numbers.
Prerequisite(s): MATH 356 and MATH 255 or MATH 243 or equivalent.
4.000 Credit hours
Schedule Types: Lecture, Final Exam
Faculty of Science
Mathematics and Statistics Department
May not be enrolled in one of the following Faculties:
Faculty of Dentistry
Faculty of Medicine
School of Continuing Studies
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