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Number of items: 8.

Article

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.

Book Section

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.

Monograph

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 (Unpublished)

Conference or Workshop Item

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.

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.

Thesis

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

This list was generated on Mon May 27 01:50:14 2019 BST.