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Eccles, Mitchell J.; Evans, David J. and Beaumont, Anthony J. (2010). True real-time change data capture with web service database encapsulation. IN: Proceedings : 2010 6th World Congress on Services, Services-1. Piscataway, NJ (US): IEEE.

Ingram, Benjamin R.; Cornford, Dan and Evans, David J. (2008). Fast algorithms for automatic mapping with space-limited covariance functions. Stochastic environmental research and risk assessment, 22 (5), pp. 661-670.

Nabney, Ian T.; Evans, David J.; Brule, Yann and Gordon, Caroline (2005). Evaluating the effectiveness of Bayesian feature selection. IN: Applications of probabilistic modelling in medical informatics and bioinformatics. Dybowski, R.; Husmeier, D. and Roberts, S. J. (eds) Advanced information and knowledge processing . Springer.

Cornford, Dan; Csató, Lehel; Evans, David and Opper, Manfred (2004). Bayesian analysis of the scatterometer wind retrieval inverse problem:Some new approaches. Journal of the Royal Statistical Society: series B, 66 (3), pp. 609-626.

Evans, David J. (2001). A pragmatic Bayesian approach to wind field retrieval. PHD thesis, Aston University.

Evans, David J.; Cornford, Dan and Nabney, Ian T. (2000). Structured neural network modelling of multi-valued functions for wind retrieval from scatterometer measurements. Neurocomputing, 30 (1-4), pp. 23-30.

Evans, David J.; Cornford, Dan and Nabney, Ian T. (1998). Structured neural network modelling of multi-valued functions for wind retrieval from scatterometer measurements. Technical Report. Aston University, Birmingham.

Evans, Darryn A. (1990). Development of a conceptual model of the soil-moisture-plant sub-system of the hydrological cycle. PHD thesis, Aston University.

Cornford, Dan; Nabney, Ian T. and Evans, David J. Bayesian retrieval of scatterometer wind fields. Technical Report. Aston University, Birmingham. (Unpublished)

Evans, David J. First year qualifying report: neural networks for extracting wind vectors from satellite scatterometer data. Project Report. Aston University, Birmingham, UK.

Evans, David J. Mixture density network training by computation in parameter space. Technical Report. Aston University, Birmingham.