Approximate Inference for Stochastic Reaction processes - researchr publication related

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Andreas Ruttor, Guido Sanguinetti, Manfred Opper. Approximate Inference for Stochastic Reaction processes. In Neil D. Lawrence, Mark A. Girolami, Magnus Rattray, Guido Sanguinetti, editors, Learning and Inference in Computational Systems Biology. Computational molecular biology, pages 277-296, MIT Press, 2010.

The following publications are possibly variants of this publication:

Approximate parameter inference in a stochastic reaction-diffusion modelAndreas Ruttor, Manfred Opper. jmlr, 9:669-676, 2010. [doi]

Approximate Gaussian process inference for the drift function in stochastic differential equationsAndreas Ruttor, Philipp Batz, Manfred Opper. nips 2013: 2040-2048 [doi]

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