Bayesian Methods
Date:
06/03/2017 - 07/03/2017
Organised by:
Lancaster University
Presenter:
Dr Simon Taylor
Level:
Intermediate (some prior knowledge)
Contact:
Angela Mercer, email: a.j.mercer@lancaster.ac.uk, Tel: 01524 593064
Map:
View in Google Maps (LA1 4YF)
Venue:
Postgraduate Statistics Centre, c/o Maths and Statistics, Faculty of Science and Technology, Lancaster, LA1 4YF, UK
Description:
This module introduces students to the use of Bayesian methods for data analysis in the social and empirical sciences. It also provides an introduction to the basic concepts of Bayesian approaches to statistics, ideas such as the subjective interpretation of probability, types of prior distributions, the use of Bayes theorem in updating information, and inference procedures such as Bayesian parameter estimates will be introduced to the student. The main focus of the module will be the application of Bayesian models in social sciences and related disciplines.
Cost:
External from industry/commerce £540; External from academic institution/public sector/charity staff £460; External postgraduate student: £300
Website and registration:
http://www.lancaster.ac.uk/maths/postgraduate/short-courses-and-cpd/
Region:
North West
Keywords:
Bayesian methods
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