4. Using EPIC

You can use standard MCMC and Parallel-Tempering MCMC with this program. Besides, there is one experimental adaptive feature to each method that adjusts the covariance of the proposal multivariate Gaussian probability density for optimal efficiency, aiming at an acceptance rate around 0.234. In the PT-MCMC, the adaptation also adjusts the temperature levels of the chains and reduces the number of necessary chains if possible.

In the following sections I guide the user through the two approaches, with typical examples for demonstration.