A goal of systems biology is to understand the dynamics of intracellular
systems. Stochastic chemical kinetic models are often utilized to accurately
capture the stochastic nature of these systems due to low numbers of molecules.
Collecting system data allows for estimation of stochastic chemical kinetic
rate parameters. We describe a well-known, but typically impractical data
augmentation Markov chain Monte Carlo algorithm for estimating these
parameters.