Multivariate moment closure techniques for stochastic kinetic models
File(s)1.4929837.pdf (1.93 MB)
Published version
Author(s)
Lakatos, E
Ale, A
Kirk, PDW
Stumpf, MPH
Type
Journal Article
Date Issued
2015-09-04
Date Acceptance
2015-08-02
Citation
Journal of Chemical Physics, 2015, 143 (9)
ISSN
1089-7690
Publisher
American Institute of Physics (AIP)
Journal / Book Title
Journal of Chemical Physics
Volume
143
Issue
9
Copyright Statement
© 2015 AIP Publishing LLC. This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. The following article appeared in The Journal of Chemical Physics and may be found at http://dx.doi.org/10.1063/1.4929837.
Sponsor
Biotechnology and Biological Sciences Research Cou
The Royal Society
Human Frontier Science Program
Medical Research Council (MRC)
Biotechnology and Biological Sciences Research Council (BBSRC)
Grant Number
BB/G530268/1
WRMA09R3/HLL
RGP0061/2011
MR/K022040/1
BB/K003909/1
Subjects
Science & Technology
Physical Sciences
Chemistry, Physical
Physics, Atomic, Molecular & Chemical
Chemistry
Physics
LINEAR NOISE APPROXIMATION
BIOLOGICAL-SYSTEMS
PARAMETER INFERENCE
BAYESIAN-INFERENCE
SELECTION
SENSITIVITY
SIMULATION
NETWORKS
REGIMES
DESIGN
Kinetics
Models, Chemical
Multivariate Analysis
Stochastic Processes
Chemical Physics
02 Physical Sciences
03 Chemical Sciences
09 Engineering
Publication Status
Published
Article Number
094107