Dr Daniel Williamson
Williamson, D., Blaker, A., Hampton, C., Salter, J. (2014) Identifying and removing structural biases in climate models with history matching, Climate Dynamics, Available online 10.1007/s00382-014- 2378-z.
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--28.
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.
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., 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.
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, Durham University, http://etheses.dur.ac.uk/348/
Submitted and Accepted
Williamson, D. (2015), Exploratory designs for computer experiments using k-extended Latin Hypercubes, Environmetrics, Accepted.
Williamson, D., Goldstein, M. (2014), Reified Bayesian analyis; extracting meaningful subjective judgements from Bayesian analyses with complex statistical models, Bayesian Analysis, In revision
Salter, J., Williamson, D. (2015) A comparison of statistical emulation methodologies for multi-wave calibration. Inverse Problems, In Submission.
Williamson, D., Vernon, I.R., (2015), Designing for tiny, arbitrarily shaped input spaces: efficient and optimal design in multi-wave computer experiments. In revision arXiv:1309.3520.
Williamson, D., Blaker, A.T., Sinha, B. (2015) Statistically tuning an ocean GCM with globally aggregated observations. In prep.
Williamson, D., Goldstein, M. (2015) Using evolving computer models in Bayesian decision support. In Prep.