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 Requirements help

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

Offerings Offerings help

Year Semester Mode Location
2019 Semester Two full semester Internal Manawatu Campus
2019 Semester Two full semester Distance
2020 Semester Two full semester Distance
2020 Semester Two full semester Internal Manawatu Campus

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