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Table of Contents - Applied Stochastic Models

COMP-SCI 494R Applied Stochastic Models

Review of basic probability including properties of joint random variables and functions of random variables. Discrete and continuous random processes, such as the Poisson process, Brownian motion, and white Gaussian noise. Linear filtering of random processes. Markovian birth and death processes and elementary queuing theory.

Prerequisite(s): COMP-SCI 394R or permission from instructor

Faculty: School of Computing & Engineer

Department: Comp Sci & Elect Engr

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