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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.
|2018||Semester One full semester||Internal||Manawatu Campus|
|2018||Semester One full semester||Distance|
|2019||Semester Two full semester||Internal||Manawatu Campus|
|2019||Semester Two full semester||Distance|
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