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Efficient Low-Order Approximation of First-Passage Time Distributions
We consider the problem of computing first-passage time distributions for reaction processes modelled by master equations.
Approximation and inference methods for stochastic biochemical kinetics - a tutorial review
In summary, this review gives a self-contained introduction to modelling, approximations and inference methods for stochastic chemical kinetics.
Cox process representation and inference for stochastic reaction-diffusion processes
Our work provides both insights into spatio-temporal stochastic systems, and a practical solution to a long-standing problem in computational modelling.
Expectation propagation for continuous time stochastic processes
We consider the inverse problem of reconstructing the posterior measure over the trajec- tories of a diffusion process from discrete time observations and continuous time constraints.
