Bayesian Hierarchical Models with Applications
Date:
14/01/2016 - 15/01/2016
Organised by:
NCRM - University of Manchester
Presenter:
Dr Guangquan Li and Dr Alexina Mason
Level:
Intermediate (some prior knowledge)
Contact:
Claire Spencer, claire.spencer@manchester.ac.uk
Map:
View in Google Maps (M13 9PL)
Venue:
Cathie Marsh Institute
Humanities Bridgeford street
University of Manchester
Description:
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
Cost:
£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:
Region:
North West
Keywords:
Mixed Methods, Statistical Theory and Methods of Inference, Bayesian methods, Bayesian
Related publications and presentations:
Mixed Methods
Statistical Theory and Methods of Inference
Bayesian methods