Bayesian Computation for Comparative Judgement Models at University of Birmingham on FindAPhD.com

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Dr Rowland Seymour Applications accepted all year round Competition Funded PhD Project (UK Students Only)

Birmingham United Kingdom Applied Statistics Computational Mathematics Statistics

School of Mathematics, University of Birmingham

About the Project

Comparative judgement models have been to used to analyse a wide range of problems from predicting the outcomes of football leagues to assessing students. More recently, comparative judgement models have been used for social good causes, including measuring deprivation in developing countries and protecting endangered birds in the rain forest. By allowing respondents, known as judges, to compare objects in terms of the quantity of interest rather than give absolute assessments of that quantity, comparative judgement models can elicit reliable and informative responses.

Bayesian computation can improve current comparative judgement models. The first way is by developing a full regime for dealing with judge uncertainty. This will allow us to identify how reliable and accurate judges are. The second is by developing methods for validating models and the influence of specific judges on the results.

References

https://academic.oup.com/jrsssc/article-pdf/71/2/288/49158339/rssc_71_2_288.pdf
https://arxiv.org/abs/2212.01202

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University of Birmingham

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