Bayesian Methods course
Date:
02/03/2015 - 03/03/2015
Organised by:
Lancaster University
Presenter:
Dr David Lucy
Level:
Intermediate (some prior knowledge)
Contact:
Angela Mercer, Short Course Administrator, Tel: 01524 593064; email: a.j.mercer@lancaster.ac.uk
Map:
View in Google Maps (LA1 4YF)
Venue:
Postgraduate Statistics Centre, c/o Mathematics and Statistics, Lancaster University, Lancaster
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.
Topics covered will be:
An introduction to Bayesian analysis, single parameter Bayesian modelling, informative priors, noninformative priors, posterior and predictive distributions, conjugate distributions, Bayesian forms of confidence intervals, Bayesian regression and General Linear Models using MCMC methods and OpenBUGS.
Exercises will be provided as part of the practical sessions. The assessment will be a short assignment on Bayesian model fitting using OpenBUGS.
Cost:
External from industry/commerce, £255 per day;
External from academic institution/public sector/charity staff £220 per day;
External postgraduate student £150 per day.
Website and registration:
http://www.lancaster.ac.uk/maths/postgraduate/short-courses-and-cpd/
Region:
North West
Keywords:
Bayesian methods
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