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Prof Daniel Williamson
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Publications
Published
Volodina, V., Williamson, D. B. (2020) Diagnostics-driven nonstationary emulators using kernel mixtures. SIAM Journal of Uncertainty Quantification 8(1) 1-26 DOI 10.1137/19M124438X
Williamson, D. B., Sansom, P. G. (2020) How are emergent constraints quantifying uncertainty and what do they leave behind? BAMS, 100, 2571-2588, https://doi.org/10.1175/BAMS-D-19-0131.1
Dawkins, L. C. Williamson, D. B. Mengersen, K. L., Morawska, L.; Jayaratne, R., Shaddick, G. (2020) Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA. Bayesian Analysis, doi:10.1214/19-BA1193.
Dawkins, L. C., Williamson, D. B., Barr, S. W., Lampkin, S. R. (2020). What drives commuter behaviour? A Bayesian clustering approach for understanding opposing behaviours in social surveys." J. Roy Stat. Soc. Ser. A, 183, 251-280, https://doi.org/10.1111/rssa.12499
Sansom, P.G., Williamson, D. B., Stephenson, D. B. (2019) State space models for intermittently coupled systems, J. Roy. Stat. Soc. Ser. C, 68, 1259-1280. doi:10.1111/rssc.12354
Salter, J.M., Williamson, D.B., Scinocca, J., Kharin, S. (2019) "Uncertainty quantification for spatio-temporal computer models with calibration-optimal bases" Journal of the American Statistical Association 114:528, 1800-1814, DOI: 10.1080/01621459.2018.1514306.
Dawkins, L. C., Barr, S. W., Williamson, D. B., and Lampkin, S. R. (2018). "Influencing transport behaviour: A Bayesian modelling approach for segmentation of social surveys." Journal of Transport Geography, 70 91-103.
Williamson, D. B., Blaker, A. T., Sinha, B. (2017) "Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model.", Geoscientific Model Development, 10(4) 1789-1816.
Screen, J., Williamson, D. (2017) "Ice-free Arctic at $1.5^o$C?", Nature Climate Change 7(4) 230-231.
Hourdin, F., Mauritsen, T., Gettelman, A., Golaz, J-C., Balaji, V., Duan, Q., Folini, D,. Ji, D., Klocke, D., Qian, Y., Rauser, F., Rio, C., Tomassini, L., Watanabe, M., Williamson, D. (2017) "The art and science of climate model tuning" BAMS 589-602.
Salter, J. M., Williamson, D. (2016) ``A comparison of statistical emulation methodologies for multi-wave calibration'', Environmetrics 27(8), 507-523.
Williamson, D., Goldstein M. (2015), "Posterior belief assessment: extracting meaningful subjective judgements from Bayesian analyses with complex statistical models", Bayesian Analysis, 10(4) 877-908.
Williamson, D., Blaker, A. T., Hampton, C., Salter, J. (2015) ``Identifying and removing structural biases in climate models with history matching'', Climate Dynamics, 45, 1299-1324.
Williamson, D. (2015), "Exploratory designs for computer experiments using k-extended Latin Hypercubes", Environmetrics 26(4) 268-283.
Williamson, D., Blaker, A.~T. (2014), ``Evolving Bayesian emulators for structured chaotic time series, with application to large climate models'', SIAM Journal of Uncertainty Quantification, 2(1).
Williamson, D., Vernon, I.R., (2013), ``Efficient uniform designs for multi-wave computer experiments'', arXiv:1309.3520
Williamson, D., Goldstein, M., Allison, L., Blaker, A., Challenor, P. Jackson, L., Yamazaki, K., (2013), ``History matching for exploring and reducing climate model parameter space using observations and a large perturbed physics ensemble'', Climate Dynamics, 41 1703--1729.
Williamson, D., Goldstein, M. and Blaker, A. (2012), ``Fast Linked Analyses for Scenario based Hierarchies'', Journal of the Royal Statistical Society Series C. 61(5), 665-693.
Yamazaki, K., Rowlands, D.~J., Aina, T., Blaker, A., Bowery, A., Massey, N., Miller, J., Rye, C., Tett, S.~F.~B., Williamson, D., Yamazaki, Y.~H., Allen, M.~R. (2012), ``Obtaining diverse behaviours in a climate model without the use of flux adjustments'', Journal of Geophysical Research - Atmospheres, 118(7), 2781--2793.
Williamson, D. and Goldstein, M. (2012), ``Bayesian policy support for
adaptive strategies using computer models for complex physical systems,'' Journal of the Operational Research Society, 63, 1021--1033.
Williamson, D. (2011) Comment on Gramacy, R. B. and Lee, H. K. H. Optimization under unknown constraints Bayesian Statistics 9, Oxford: Oxford University Press.
Williamson, D. (2010), ``Policy making using computer simulators for
complex physical systems; Bayesian decision support for the development of
adaptive strategies'', Ph.D. thesis, University of Durham,
Submitted and In Revision