Parameter estimation by a Markov chain Monte Carlo technique for the Candy model

This paper presents a parameter estimation method for the Candy model based on Monte Carlo approximation of the likelihood function. In order to produce such an approximation a Metropolis-Hastings style algorithm for simulating the Candy model is introduced.