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STAT0031 Applied Bayesian Methods

LevelCreditsTermType
7152Departmental

Module description

This module aims to introduce the Bayesian approach to statistical inference, to develop relevant theory, methodology and computational techniques for its implementation and to develop basic skills in use of the WinBUGS software for Bayesian modelling.

Further details are available in the STAT0031 UCL Module Catalogue entry.

Standard prerequisites

Knowledge of introductory probability and statistical theory, and the associated necessary mathematical theory.

Registration process

STAT0031 is specified as a formal option within the following postgraduate programmes:

  • MSc Computational Statistics and Machine Learning;
  • MSc Data Science and Machine Learning.

Students from these programmes should simply register for STAT0031 on Portico and await a decision. It is not necessary to register separately with a member of staff in the Department of Statistical Science (successful admission to the programme already demonstrates that the prerequisites can be met).

STAT0031 is also offered as an elective to Masters students. All prospective elective students must consult a member of staff in the Department of Statistical Science, who will confirm whether they have the necessary prerequisites.

This webpage part of a guide to modules offered by the Department of Statistical Science that are available to students registered in other UCL departments and should be read in conjunction with the general information on the front page of the guide.