Name
Abstract | ||
|---|---|---|
This study considers using Metropolis-Hastings algorithm for stochastic simulation of chemical reactions. The proposed method uses SSA (Stochastic Simulation Algorithm) distribution which is a standard method for solving well-stirred chemically reacting systems as a desired distribution. A new numerical solvers based on exponential form of exact and approximate solutions of CME (Chemical Master Equation) is employed for obtaining target and proposal distributions in Metropolis-Hastings algorithm to accelerate the accuracy of the tau-leap method. Samples generated by this technique have the same distribution as SSA and the histogram of samples show it's convergence to SSA. |
Year | Venue | Keywords |
|---|---|---|
2014 | CoRR | cme,ssa,metropolis hastings |
DocType | Volume | Citations |
Journal | abs/1410.8155 | 1 |
PageRank | References | Authors |
0.39 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azam S. Zavar Moosavi | 1 | 14 | 4.12 |
| Paul Tranquilli | 2 | 25 | 4.95 |
| Adrian Sandu | 3 | 2 | 0.77 |