@inproceedings{8fb8a86f1f3249c9917358b15ab549b4,
title = "Stochastic simulation and parameter estimation of enzyme reaction models",
abstract = "The development of models and estimators that can satisfactorily describe enzyme reactions are extremely valuable to understand life processes. In this paper, the problem of modeling and parameter estimation of enzyme reactions from a stochastic perspective is addressed. The simulation results show that obtained estimators are adequate and accurate enough for this type of systems.",
keywords = "Biochemistry, Biological system modeling, Chemicals, Computational modeling, Humans, Life estimation, Microorganisms, Parameter estimation, Stochastic processes, White blood cells",
author = "Xueying Zhang and \{De Cock\}, K. and Bugallo, \{M. F.\} and Djuri{\'c}, \{P. M.\}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE Workshop on Statistical Signal Processing, SSP 2003 ; Conference date: 28-09-2003 Through 01-10-2003",
year = "2003",
doi = "10.1109/SSP.2003.1289461",
language = "English",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE Computer Society",
pages = "518--521",
booktitle = "Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003",
}