Sciweavers

Share
JMLR
2010

Approximate parameter inference in a stochastic reaction-diffusion model

8 years 4 months ago
Approximate parameter inference in a stochastic reaction-diffusion model
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.
Andreas Ruttor, Manfred Opper
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JMLR
Authors Andreas Ruttor, Manfred Opper
Comments (0)
books