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Number of items: 8.

Boukouvalas, Alexios, Barillec, Remi and Cornford, Dan (2012). Gaussian process quantile regression using expectation propagation. IN: 29th International Conference on Machine Learning. 2012-06-26 - 2012-07-01.

Shen, Yuan, Archambeau, Cédric, Cornford, Dan, Opper, Manfred, Shawe-Taylor, John and Barillec, Remi (2010). A comparison of variational and Markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. Journal of Signal Processing Systems, 61 (1), pp. 51-59.

Barillec, Remi and Cornford, Dan (2009). Data assimilation for precipitation nowcasting using Bayesian inference. Advances in Water Resources, 32 (7), pp. 1050-1065.

Ingham, Ben, Cornford, Dan and Barillec, Remi (2009). Projected sequential Gaussian processes: flexible interpolation for large data sets. IN: StatGIS 2009. 2009-06-16 - 2009-06-18.

de Jesus, Jorge, Barillec, Remi, Dubois, Gregoire and Cornford, Dan (2009). A web processing service for validating interpolation. IN: StatGIS 2009. 2009-06-16 - 2009-06-18.

Barillec, Remi, Boukouvalas, Alexis and Cornford, Dan (2009). Emulation of dynamic computer models with multivariate output. Technical Report. Aston University. (Unpublished)

Barillec, Remi L. (2008). Bayesian data assimilation. PHD thesis, Aston University.

Shen, Y., Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J. and Barillec, R. (2007). Evaluation of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. IN: Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. IEEE.

This list was generated on Thu Oct 17 02:10:51 2019 BST.