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2026-27 Fall - MSDM5003 - Stochastic Processes and Applications

Course

Description

Instructor(s)/Supervisor(s)/Coordinator(s): Tiezheng QIAN
Probability theory; maximum likelihood; Bayesian techniques; principal component analysis, data transformation and filtering; Brownian motion and stochastic processes; cross-correlations; power laws; log-normal distribution and extreme value distributions; Maxwell-Boltzmann distribution; Monte Carlo methods; agent-based models; evolutionary games; Black-Scholes equation.
Course period1/09/2631/12/26
Course levelPG
Course formatLecture