On the validity of the Girsanov transformation method for sensitivity analysis of stochastic chemical reaction networks

被引:0
|
作者
Wang, Ting [1 ]
Rathinam, Muruhan [2 ]
机构
[1] Univ Delaware, Dept Math Sci, Newark, DE 19716 USA
[2] Univ Maryland Baltimore Cty, Dept Math & Stat, Baltimore, MD 21228 USA
关键词
Girsanov transformation; sensitivity analysis; chemical reaction networks; exponential integrability;
D O I
10.1080/17442508.2021.1873341
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We investigate the validity of the Girsanov Transformation (GT) method for parametric sensitivity analysis of stochastic models of chemical reaction networks. The validity depends on the likelihood ratio process being a martingale and the commutation of a certain derivative with expectation. We derive some exponential integrability conditions which imply both these requirements. We provide further conditions in terms of a reaction network that imply these exponential integrability conditions.
引用
收藏
页码:1227 / 1248
页数:22
相关论文
共 50 条
  • [1] Efficiency of the Girsanov Transformation Approach for Parametric Sensitivity Analysis of Stochastic Chemical Kinetics
    Wang, Ting
    Rathinam, Muruhan
    [J]. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 2016, 4 (01): : 1288 - 1322
  • [2] An efficient and unbiased method for sensitivity analysis of stochastic reaction networks
    Gupta, Ankit
    Khammash, Mustafa
    [J]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2014, 11 (101)
  • [3] Sensitivity analysis for stochastic chemical reaction networks with multiple time-scales
    Gupta, Ankit
    Khammash, Mustafa
    [J]. ELECTRONIC JOURNAL OF PROBABILITY, 2014, 19 : 1 - 53
  • [4] Stochastic flux analysis of chemical reaction networks
    Kahramanogullari, Ozan
    Lynch, James F.
    [J]. BMC SYSTEMS BIOLOGY, 2013, 7
  • [5] Parallel replica dynamics method for bistable stochastic reaction networks: Simulation and sensitivity analysis
    Wang, Ting
    Plechac, Petr
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2017, 147 (23):
  • [6] Stochastic averaging and sensitivity analysis for two scale reaction networks
    Hashemi, Araz
    Nunez, Marcel
    Plechac, Petr
    Vlachos, Dionisios G.
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2016, 144 (07):
  • [7] Global sensitivity analysis in stochastic simulators of uncertain reaction networks
    Jimenez, M. Navarro
    Le Maitre, O. P.
    Knio, O. M.
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2016, 145 (24):
  • [8] A finite state projection method for steady-state sensitivity analysis of stochastic reaction networks
    Durrenberger, Patrik
    Gupta, Ankit
    Khammash, Mustafa
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2019, 150 (13):
  • [9] A Moment Closure Method for Stochastic Chemical Reaction Networks with General Kinetics
    Lee, Chang Hyeong
    [J]. MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY, 2013, 70 (03) : 785 - 800
  • [10] Fast Probability Generating Function Method for Stochastic Chemical Reaction Networks
    Kim, Pilwon
    Lee, Chang Hyeong
    [J]. MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY, 2014, 71 (01) : 57 - 69