Bayesian Hierarchical Models with Applications


14/01/2016 - 15/01/2016

Organised by:

NCRM - University of Manchester


Dr Guangquan Li and Dr Alexina Mason


Intermediate (some prior knowledge)


Claire Spencer,


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:


North West


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

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