Bayesian Methods
Date:
12/03/2018 - 13/03/2018
Organised by:
Lancaster University
Presenter:
Dr David Lucy
Level:
Intermediate (some prior knowledge)
Contact:
Angela Mercer, 01524 593064, psc@lancaster.ac.uk
Map:
View in Google Maps (LA1 4YF)
Venue:
Department of Mathematics and Statistics
C/o Postgraduate Statistics Centre
Lancaster University
Lancaster
Description:
This module introduces students to the use of Bayesian methods for data analysis in the social and empirical sciences. It provides an introduction to conditional probability and Bayes' theorum and its application to the calculation of everyday probabilities. The discussion is then extended to the use od Bayes' theorum to calculate statistics. Ideas such as the subjective interpretation of probability, types of prior distributions, and the use of Bayes theorem in updating information. Inference procedures such as Bayesian parameter estimates will be introduced. The main focus of the module will be the application of Bayesian models in the social and environmental sciences and related disciplines.
Cost:
External from industry/Commerce, £540 and External from academic institution/public sector/charity staff £460; External postgraduate student £300.
Website and registration:
www.lancaster.ac.uk/maths/postgraduate/short-courses/
Region:
North West
Keywords:
Bayesian methods
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