Inference for Multi-Model Ensembles: An Application in Glaciology. Bingham, D., Flowers, G. and Harari, O.
Harari, O. and Bingham, D. (2016), “Discussion on the Paper Bayesian Design of Experiments for Generalised Linear Models and Dimensional Analysis with Industrial and Scientific Application” by David C. Woods, Antony M. Overstall, Maria Adamou and Timothy W. Waite”, Quality Engineering, 29, p. 104-106.
van Bommel, M., Ranjan, P. and Chipman, H. (2017), “A stage-wise surrogate modelling algorithm for tidal power simulations”, to be submitted to CANSSI’s special issue in CJS.
Harari, O., Bingham, D. and Flowers, G. (2017), “Calibration for multi-model ensembles – Glaciology calibration”, to be submitted to Annals of Applied Statistics.