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| Citation key | Ruttor:2010:AIS |
|---|---|
| Author | Andreas Ruttor and Guido Sanguinetti and Manfred Opper |
| Title of Book | Learning and Inference in Computational Systems Biology |
| Pages | 189-205 |
| Year | 2010 |
| Editor | Neil D. Lawrence and Mark Girolami and Magnus Rattray and Guido Sanguinetti |
| Publisher | MIT Press |
| Abstract | We discuss the problem of statistical inference for Markov jump processes modelling biochemical reactions. Using a variational formulation of exact inference we derive two different approximations. A weak noise approach within a diffusion approximation is relevant when the number of individuals of a given species is rather large. On the other hand a mean field approximation takes the discreteness of the number of individuals into account but neglects correlations. |
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