Bayesian Hierarchical Models with Applications
14-15th January 2016
NCRM, 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.
For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=5787
Training bursaries
The ESRC wishes to improve the standards of research methods and to stimulate the uptake of high quality training courses in research methods across the UK social science community. The bursaries, for up to £500 each, enable staff in the UK social science community engaged in research, teaching research methods or supervising research to update their research skills. Contract researchers working in HEIs are also eligible for the bursaries.
For more information
http://www.ncrm.ac.uk/TandE/bursary/
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