Dr Daniel Williamson

Personal Homepage

 

Publications

Published

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.

In Preparation

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.