This module aims to present some advanced probabilistic concepts and techniques, and demonstrate their application to stochastic modelling of real-world situations. The topics covered include random walks, renewal theory, Poisson process, continuous-time Markov processes and Brownian motion. In addition to exposure to proofs and theoretical material, students develop practical skills through a large number of problems and worked examples.
MTH6934 / MTH712P / MTH734U - Topics in Probability and Stochastic Processes - 2023/24
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