Discrete Stochastic Processes
6.262 · Electrical Engineering and Computer Science · Graduate · Spring 2011
Prof. Robert Gallager
Discrete stochastic processes are essentially probabilistic systems that evolve in time via random changes occurring at discrete fixed or random intervals. This course aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of these processes. The range of areas for which discrete stochastic-process models are useful is constantly expanding, and includes many applications in engineering, ph…
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Prof. Robert Gallager. 6.262 Discrete Stochastic Processes. Spring 2011. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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