Daniele Cappelletti, Andrés Ortiz-Muñoz, David F. Anderson, Erik Winfree. Stochastic chemical reaction networks for robustly approximating arbitrary probability distributions. Theoretical Computer Science, 801:64-95, 2020. [doi]
@article{CappellettiOAW20,
title = {Stochastic chemical reaction networks for robustly approximating arbitrary probability distributions},
author = {Daniele Cappelletti and Andrés Ortiz-Muñoz and David F. Anderson and Erik Winfree},
year = {2020},
doi = {10.1016/j.tcs.2019.08.013},
url = {https://doi.org/10.1016/j.tcs.2019.08.013},
researchr = {https://researchr.org/publication/CappellettiOAW20},
cites = {0},
citedby = {0},
journal = {Theoretical Computer Science},
volume = {801},
pages = {64-95},
}