Mooasvi, A.Tranquilli, PaulSandu, Adrian2017-03-062017-03-062016-05-012156-907Xhttp://hdl.handle.net/10919/75289This 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.322 - 335 (14) page(s)application/pdfenIn CopyrightMathematics, AppliedMathematicsMetropolis-HastingsSSACMEtau-leapREACTING SYSTEMSSIMULATIONALGORITHMSArticle - Refereedhttps://doi.org/10.11948/201602562