ADM-CLE approach for detecting slow variables in continuous time Markov chains and dynamic data
A method for detecting intrinsic slow variables in high-dimensional stochastic chemical reaction networks is developed and analyzed. It combines anisotropic diffusion maps (ADM) with approximations based on the chemical Langevin equation (CLE). The resulting approach, called ADM-CLE, has the potenti...
Κύριοι συγγραφείς: | Cucuringu, M, Erban, R |
---|---|
Μορφή: | Journal article |
Έκδοση: |
2015
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
ADM-CLE approach for detecting slow variables in continuous time Markov chains and dynamic data
ανά: Cucuringu, M, κ.ά.
Έκδοση: (2017) -
From Brownian Dynamics to Markov Chain: an Ion Channel Example
ανά: Chen, W, κ.ά.
Έκδοση: (2012) -
From Brownian dynamics to Markov chain: an ion channel example
ανά: Chen, W, κ.ά.
Έκδοση: (2012) -
Lumpability for uncertain continuous-time Markov chains
ανά: Cardelli, L, κ.ά.
Έκδοση: (2021) -
Matrix Analysis for Continuous-Time Markov Chains
ανά: Le Hung V., κ.ά.
Έκδοση: (2021-12-01)