Bayesian Hierarchical Models with Applications
14/01/2016 - 15/01/2016
NCRM - University of Manchester
Dr Guangquan Li and Dr Alexina Mason
Intermediate (some prior knowledge)
Claire Spencer, email@example.com
View in Google Maps (M13 9PL)
Cathie Marsh Institute
Humanities Bridgeford street
University of Manchester
Many quantitative researchers in the social and health sciences will be required to analyse data with a hierarchical or multilevel structure, or with missing or mis-measured values, at some point in their careers. Bayesian methods offer a natural approach to handling these types of problems, through their ability to specify distributions both for model parameters and for missing or imprecisely measured data. This two-day course provides researchers who already have some basic understanding of Bayesian methods with a more in-depth treatment of applied Bayesian methods for modelling data with complex structure.
This course will run:
Day one - 10am-5:15pm
Day two - 9:30am-4:30pm
£60 per day for UK/EU registered students
£120 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
£440 per day for all other participants.
Website and registration:
Mixed Methods, Statistical Theory and Methods of Inference, Bayesian methods, Bayesian
Related publications and presentations: