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@inproceedings{1119886,
author = {Brim, Luboš and Češka, Milan and Dražan, Sven and Šafránek, David},
address = {Berlin},
booktitle = {25th International Conference, CAV 2013, Saint Petersburg, Russia, July 13-19, 2013. Proceedings},
doi = {http://dx.doi.org/10.1007/978-3-642-39799-8_7},
keywords = {continuous-time Markov chains; parameter exploration; model checking},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin},
isbn = {978-3-642-39798-1},
pages = {107-123},
publisher = {Springer Berlin Heidelberg},
title = {Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking},
url = {http://link.springer.com/chapter/10.1007%2F978-3-642-39799-8_7},
year = {2013}
}
TY - JOUR
ID - 1119886
AU - Brim, Luboš - Češka, Milan - Dražan, Sven - Šafránek, David
PY - 2013
TI - Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking
PB - Springer Berlin Heidelberg
CY - Berlin
SN - 9783642397981
KW - continuous-time Markov chains
KW - parameter exploration
KW - model checking
UR - http://link.springer.com/chapter/10.1007%2F978-3-642-39799-8_7
N2 - We propose an automated method for exploring kinetic parameters of stochastic biochemical systems. The main question addressed is how the validity of an a priori given hypothesis expressed as a temporal logic property depends on kinetic parameters. Our aim is to compute a landscape function that, for each parameter point from the inspected parameter space, returns the quantitative model checking result for the respective continuous time Markov chain. Since the parameter space is in principle dense, it is infeasible to compute the landscape function directly. Hence, we design an effective method that iteratively approximates the lower and upper bounds of the landscape function with respect to a given accuracy. To this end, we modify the standard uniformization technique and introduce an iterative parameter space decomposition. We also demonstrate our approach on two biologically motivated case studies.
ER -
BRIM, Luboš, Milan ČEŠKA, Sven DRAŽAN and David ŠAFRÁNEK. Exploring Parameter Space of Stochastic Biochemical Systems Using Quantitative Model Checking. Online. In \textit{25th International Conference, CAV 2013, Saint Petersburg, Russia, July 13-19, 2013. Proceedings}. Berlin: Springer Berlin Heidelberg, 2013. p.~107-123. ISBN~978-3-642-39798-1. Available from: https://dx.doi.org/10.1007/978-3-642-39799-8\_{}7. [citováno 2024-04-24]
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