Approximate parameter inference in a stochastic reaction-diffusion model

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Andreas Ruttor, Manfred Opper ;
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, PMLR 9:669-676, 2010.

Abstract

We present an approximate inference approach to parameter estimation in a spatio-temporal stochastic process of the reaction-diffusion type. The continuous space limit of an inference method for Markov jump processes leads to an approximation which is related to a spatial Gaussian process. An efficient solution in feature space using a Fourier basis is applied to inference on simulational data.

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