@article{3842,
abstract = {Within systems biology there is an increasing interest in the stochastic behavior of biochemical reaction networks. An appropriate stochastic description is provided by the chemical master equation, which represents a continuous-time Markov chain (CTMC). The uniformization technique is an efficient method to compute probability distributions of a CTMC if the number of states is manageable. However, the size of a CTMC that represents a biochemical reaction network is usually far beyond what is feasible. In this paper we present an on-the-fly variant of uniformization, where we improve the original algorithm at the cost of a small approximation error. By means of several examples, we show that our approach is particularly well-suited for biochemical reaction networks.},
author = {Didier, Frédéric and Henzinger, Thomas A and Mateescu, Maria and Wolf, Verena},
journal = {IET Systems Biology},
number = {6},
pages = {441 -- 452},
publisher = {Institution of Engineering and Technology},
title = {{Fast adaptive uniformization of the chemical master equation}},
doi = {10.1049/iet-syb.2010.0005},
volume = {4},
year = {2010},
}