python code for stard Markov chain Monte Carlo algorithm. In this example, MCMC is used to find position of high probability of a simple distribution function. Application in identification of model parameters is similar in that the highest probable area is where measurement data are close to experimental data-python code for stardard Markov chain Monte Carlo algorithm. In this example, MCMC is used to find position of high probability of a simple distribution function. Application in identification of model parameters is similar in that the highest probable area is where measurement data are close to experimental data