161.304 Advanced Statistical Modelling (15 credits)

The use of modern computational statistical tools to solve real-world problems. Topics include: the basics of stochastic modelling, Markov chains, simulation methods, likelihood and Bayesian approaches, and the Markov chain Monte Carlo method of model fitting.

Note(s): Access to a computer with an approved statistics package is required for analysis of data.

Requirements

• Prerequisite(s): 161.200
  General Prerequisite: At least 45 credits from 200 level.

Offerings

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