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20132019
most citedApproximation and inference methods for stochastic biochemical kinetics - a tutorial review

341 citations · 642 across the 10 of their papers we have counts for

collaborators

10 papers

math.PR2019★ 3 cited

Time-dependent product-form Poisson distributions for reaction networks with higher order complexes

David F. Anderson, David Schnoerr, Chaojie Yuan

It is well known that stochastically modeled reaction networks that are complex balanced admit a stationary distribution that is a product of Poisson distributions. In this paper,…

cs.LO2017★ 1 cited

Probabilistic Model Checking for Continuous Time Markov Chains via Sequential Bayesian Inference

Dimitrios Milios, Guido Sanguinetti, David Schnoerr

Probabilistic model checking for systems with large or unbounded state space is a challenging computational problem in formal modelling and its applications. Numerical algorithms r…

physics.comp-ph2017★ 19 cited

Efficient Low-Order Approximation of First-Passage Time Distributions

David Schnoerr, Botond Cseke, Ramon Grima +1

We consider the problem of computing first-passage time distributions for reaction processes modelled by master equations. We show that this generally intractable class of problems…

q-bio.QM2016★ 341 cited

Approximation and inference methods for stochastic biochemical kinetics - a tutorial review

David Schnoerr, Guido Sanguinetti, Ramon Grima

Stochastic fluctuations of molecule numbers are ubiquitous in biological systems. Important examples include gene expression and enzymatic processes in living cells. Such systems a…

cond-mat.stat-mech2016★ 41 cited

Cox process representation and inference for stochastic reaction-diffusion processes

David Schnoerr, Ramon Grima, Guido Sanguinetti

Complex behaviour in many systems arises from the stochastic interactions of spatially distributed particles or agents. Stochastic reaction-diffusion processes are widely used to m…

stat.ML2015★ 9 cited

Expectation propagation for continuous time stochastic processes

Botond Cseke, David Schnoerr, Manfred Opper +1

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 constrain…