STAT0031 Applied Bayesian Methods

Level	Credits	Term	Type
7	15	2	Departmental

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 the use of probabilistic programming software for Bayesian modelling.

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

Prerequisite knowledge

STAT0031 is primarily intended for students within the Department of Statistical Science (including the CSML, DSML & MASS programmes). For these students, the academic prerequisites for this module are met either through earlier compulsory study within (UG) or successful admission to (PGT) their current programme.

For outside students, the prerequisites can be characterised as a knowledge of introductory probability and statistical theory, and the associated necessary mathematical theory.

Registration process

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

Consultation request form

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.