System Identification of Enzymatic Control Processes Using Population Monte Carlo Methods

We demonstrate the superiority of Population Monte Carlo techniques over standard Metropolis Markov Chain Monte Carlo (MCMC) methods for inferring optimal parameters for a particular mechanistic model