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math.PR2017
A review of the deterministic and diffusion approximations for stochastic chemical reaction networks
Pavel Mozgunov, Marco Beccuti, Andras Horvath +3
This work reviews deterministic and diffusion approximations of the stochastic chemical reaction networks and explains their applications. We discuss the added value the diffusion…
math.PR2017★ 3 cited
Strong approximation of density dependent Markov chains on bounded domains
Enrico Bibbona, Roberta Sirovich
Density dependent families of Markov chains, such as the stochastic models of mass-action chemical kinetics, converge for large values of the indexing parameter to deterministi…