Staff profile
Overview
https://apps.dur.ac.uk/biography/image/4249
Affiliation | Telephone |
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Professor in the Department of Mathematical Sciences | |
Fellow of the Durham Research Methods Centre | |
Associate Fellow in the Institute of Advanced Study |
Research interests
- Bayesian statistics
- Expert knowledge elicitation
- Robust analyses
- Uncertainty communication
- Uncertainty quantification
Publications
Chapter in book
- SHELF: the Sheffield elicitation framework
Gosling, J. P. (2018). SHELF: the Sheffield elicitation framework. In Elicitation (61-93). Springer, Cham
Doctoral Thesis
- Elicitation: a nonparametric view
Gosling, J. P. (2005). Elicitation: a nonparametric view. (Thesis). University of Sheffield. https://durham-repository.worktribe.com/output/1647140
Journal Article
- AddiVortes: (Bayesian) Additive Voronoi Tessellations
Stone, A. J., & Gosling, J. P. (online). AddiVortes: (Bayesian) Additive Voronoi Tessellations. Journal of Computational and Graphical Statistics, https://doi.org/10.1080/10618600.2024.2414104 - A Bayesian Computer Model Analysis of Robust Bayesian Analyses
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 - Enhancing the Measurement of Sentence Severity through Expert Knowledge Elicitation
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 - Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study
Holzhauer, B., Hampson, L. V., Gosling, J. P., Bornkamp, B., Kahn, J., Lange, M. R., Luo, W.-L., Brindicci, C., Lawrence, D., Ballerstedt, S., & 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 - Gaussian process modeling of heterogeneity and discontinuities using Voronoi tessellations
Pope, C. A., Gosling, J. P., Barber, S., Johnson, J. S., Yamaguchi, T., Feingold, G., & Blackwell, P. G. (2021). Gaussian process modeling of heterogeneity and discontinuities using Voronoi tessellations. Technometrics, 63(1), 53-63 - Artificial Intelligence for chemical risk assessment
Wittwehr, C., Blomstedt, P., Gosling, J. P., Peltola, T., Raffael, B., Richarz, A.-N., Sienkiewicz, M., Whaley, P., Worth, A., & Whelan, M. (2020). Artificial Intelligence for chemical risk assessment. Computational Toxicology, 13, - Tackling selection bias in sentencing data analysis: a new approach based on a scale of severity
Pina-Sánchez, J., & Gosling, J. P. (2020). Tackling selection bias in sentencing data analysis: a new approach based on a scale of severity. Quality and Quantity, 54(3), 1047-1073 - Potential of ToxCast data in the safety assessment of food chemicals
Punt, A., Firman, J., Boobis, A., Cronin, M., Gosling, J. P., Wilks, M. F., Hepburn, P. A., Thiel, A., & Fussell, K. C. (2020). Potential of ToxCast data in the safety assessment of food chemicals. Toxicological Sciences, 174(2), 326-340 - Generation of TD50 values for carcinogenicity study data
Thresher, A., Gosling, J. P., & Williams, R. (2019). Generation of TD50 values for carcinogenicity study data - Emulation of vessel motion simulators for computationally efficient uncertainty quantification
Astfalck, L., Cripps, E., Gosling, J., & Milne, I. (2019). Emulation of vessel motion simulators for computationally efficient uncertainty quantification. Ocean Engineering, 172, 726-736 - T lymphocyte phenotype of contact-allergic patients: experience with nickel and p-phenylenediamine
Wicks, K., Stretton, C., Popple, A., Beresford, L., Williams, J., Maxwell, G., Gosling, J. P., Kimber, I., & Dearman, R. J. (2019). T lymphocyte phenotype of contact-allergic patients: experience with nickel and p-phenylenediamine. Contact Dermatitis, 81(1), 43-53 - Rank pruning for dominance queries in CP-nets
Laing, K., Thwaites, P. A., & Gosling, J. P. (2019). Rank pruning for dominance queries in CP-nets. Journal of Artificial Intelligence Research, 64, 55-107 - Have The England and Wales Guidelines Affected Sentencing Severity? An Empirical Analysis Using a Scale of Severity and Time-Series Analyses
Pina-Sánchez, J., Gosling, J. P., Chung, H.-I., Bourgeois, E., Geneletti, S., & Marder, I. D. (2019). Have The England and Wales Guidelines Affected Sentencing Severity? An Empirical Analysis Using a Scale of Severity and Time-Series Analyses. The British Journal of Criminology: An International Review of Crime and Society, 59(4), 979-1001 - The importance of mathematical modelling in chemical risk assessment and the associated quantification of uncertainty
Gosling, J. P. (2019). The importance of mathematical modelling in chemical risk assessment and the associated quantification of uncertainty. Computational Toxicology, 10, 44-50 - Uncertainty quantification of density and stratification estimates with implications for predicting ocean dynamics
Manderson, A., Rayson, M., Cripps, E., Girolami, M., Gosling, J., Hodkiewicz, M., Ivey, G., & Jones, N. (2019). Uncertainty quantification of density and stratification estimates with implications for predicting ocean dynamics. Journal of Atmospheric and Oceanic Technology, 36(7), 1313-1330 - Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making
Paini, A., Leonard, J., Joossens, E., Bessems, J., Desalegn, A., Dorne, J., Gosling, J., Heringa, M., Klaric, M., Kliment, T., & others. (2019). Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making. Computational Toxicology, 9, 61-72 - Expert elicitation of directional metocean parameters
Astfalck, L., Cripps, E., Gosling, J., Hodkiewicz, M., & Milne, I. (2018). Expert elicitation of directional metocean parameters. Ocean Engineering, 161, 268-276 - Building narratives to characterise uncertainty in regional climate change through expert elicitation
Dessai, S., Bhave, A., Birch, C., Conway, D., Garcia-Carreras, L., Gosling, J. P., Mittal, N., & Stainforth, D. (2018). Building narratives to characterise uncertainty in regional climate change through expert elicitation. Environmental Research Letters, 13(7), - Expert knowledge elicitation using item response theory
Andrade, J., & Gosling, J. (2018). Expert knowledge elicitation using item response theory. Journal of Applied Statistics, 45(16), 2981-2998 - EURL ECVAM workshop on new generation of physiologically-based kinetic models in risk assessment
Paini, A., Joossens, E., Bessems, J., Desalegn, A., Dorne, J.-L., Gosling, J., Heringa, M., Klaric, M., Kramer, N., Loizou, G., & others. (2017). EURL ECVAM workshop on new generation of physiologically-based kinetic models in risk assessment - Identification of transcript regulatory patterns in cell differentiation
Gusnanto, A., Gosling, J. P., & Pope, C. (2017). Identification of transcript regulatory patterns in cell differentiation. Bioinformatics, 33(20), 3235-3242 - Prediction of the effect of formulation on the toxicity of chemicals
Mistry, P., Neagu, D., Sanchez-Ruiz, A., Trundle, P. R., Vessey, J. D., & Gosling, J. P. (2017). Prediction of the effect of formulation on the toxicity of chemicals - Continuous effector CD8+ T cell production in a controlled persistent infection is sustained by a proliferative intermediate population
Chu, H. H., Chan, S.-W., Gosling, J. P., Blanchard, N., Tsitsiklis, A., Lythe, G., Shastri, N., Molina-París, C., & Robey, E. A. (2016). Continuous effector CD8+ T cell production in a controlled persistent infection is sustained by a proliferative intermediate population. Immunity, 45(1), 159-171 - Modelling consumer intakes of vegetable oils and fats
Tennant, D., & Gosling, J. P. (2015). Modelling consumer intakes of vegetable oils and fats - Evaluating uncertainty in convective cloud microphysics using statistical emulation
Johnson, J., Cui, Z., Lee, L., Gosling, J., Blyth, A., & Carslaw, K. (2015). Evaluating uncertainty in convective cloud microphysics using statistical emulation. Journal of Advances in Modelling Earth Systems, 7(1), 162-187 - Methods for eliciting expert opinion to inform health technology assessment
Gosling, J. P. (2014). Methods for eliciting expert opinion to inform health technology assessment - An efficient screening method for computer experiments
Boukouvalas, A., Gosling, J. P., & Maruri-Aguilar, H. (2014). An efficient screening method for computer experiments. Technometrics, 56(4), 422-431 - A Bayes Linear approach to weight-of-evidence risk assessment for skin allergy
Gosling, J. P., Hart, A., Owen, H., Davies, M., Li, J., & MacKay, C. (2013). A Bayes Linear approach to weight-of-evidence risk assessment for skin allergy. Bayesian Analysis, 8(1), 169-186 - Interpretation of the margin of exposure for genotoxic carcinogens-Elicitation of expert knowledge about the form of the dose response curve at human relevant exposures
Boobis, A., Flari, V., Gosling, J. P., Hart, A., Craig, P., Rushton, L., & Idahosa-Taylor, E. (2013). Interpretation of the margin of exposure for genotoxic carcinogens-Elicitation of expert knowledge about the form of the dose response curve at human relevant exposures. Food and Chemical Toxicology, 57, 106-118 - Web-based tool for expert elicitation of the variogram
Truong, P. N., Heuvelink, G., & Gosling, J. P. (2012). Web-based tool for expert elicitation of the variogram - Predicting rainy seasons: quantifying the beliefs of prophets
Andrade, J., & Gosling, J. (2011). Predicting rainy seasons: quantifying the beliefs of prophets. Journal of Applied Statistics, 38(1), 183-193 - Quantifying Experts’ Uncertainty About the Future Cost of Exotic Diseases
Gosling, J. P., Hart, A., Mouat, D. C., Sabirovic, M., Scanlan, S., & Simmons, A. (2011). Quantifying Experts’ Uncertainty About the Future Cost of Exotic Diseases. Risk Analysis, 32, 881-93 - Gaussian process emulation for second-order Monte Carlo simulations
Johnson, J., Gosling, J., & Kennedy, M. (2010). Gaussian process emulation for second-order Monte Carlo simulations. Journal of Statistical Planning and Inference, 141, 1838-48 - Development of a framework for evaluation and expression of uncertainties in hazard and risk assessment
Hart, A., Gosling, J. P., Boobis, A., Coggon, D., Craig, P., & Jones, D. (2010). Development of a framework for evaluation and expression of uncertainties in hazard and risk assessment - Gaussian process emulation of dynamic computer codes
Conti, S., Gosling, J. P., Oakley, J., & O'Hagan, A. (2009). Gaussian process emulation of dynamic computer codes. Biometrika, 96(3), 663-676 - Quantifying uncertainty in the biospheric carbon flux for England and Wales
Kennedy, M., Anderson, C., O'Hagan, A., Lomas, M., Woodward, I., Gosling, J. P., & Heinemeyer, A. (2008). Quantifying uncertainty in the biospheric carbon flux for England and Wales. Journal of the Royal Statistical Society: Series A, 171(1), 109-135 - Nonparametric elicitation for heavy-tailed prior distributions
Gosling, J. P., Oakley, J. E., & O’Hagan, A. (2007). Nonparametric elicitation for heavy-tailed prior distributions. Bayesian Analysis, 2(693-718),
Supervision students
Adam Stone
2S