Professor John Paul Gosling's Outputs (3)

Enhancing the Measurement of Sentence Severity through Expert Knowledge Elicitation (2022)
Journal Article
Pina-Sanchez, J., & Gosling, J. P. (2022). Enhancing the Measurement of Sentence Severity through Expert Knowledge Elicitation. Journal of Legal Research Methodology, 2(1), 26-45. https://doi.org/10.19164/jlrm.v2i1.1241

A Bayesian Computer Model Analysis of Robust Bayesian Analyses (2022)
Journal Article
Vernon, I., & Gosling, J. (2023). A Bayesian Computer Model Analysis of Robust Bayesian Analyses. Bayesian Analysis, 18(4), 1367-1399. https://doi.org/10.1214/22-ba1340

We harness the power of Bayesian emulation techniques, designed to aid the analysis of complex computer models, to examine the structure of complex Bayesian analyses themselves. These techniques facilitate robust Bayesian analyses and/or sensitivity... Read More about A Bayesian Computer Model Analysis of Robust Bayesian Analyses.

Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study (2022)
Journal Article
Holzhauer, B., Hampson, L. V., Gosling, J. P., Bornkamp, B., Kahn, J., Lange, M. R., …others. (2022). Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study. Pharmaceutical Statistics, 21(5), 1005-1021. https://doi.org/10.1002/pst.2212

Pharmaceutical companies regularly need to make decisions about drug development programs based on the limited knowledge from early stage clinical trials. In this situation, eliciting the judgements of experts is an attractive approach for synthesisi... Read More about Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study.