Methods of Monte Carlo Simulation • 4 years ago. This function generates a sample from the posterior distribution of a Poisson regression model using a random walk Metropolis algorithm. We are not going to go into the details of the methods, but rather on the direct usage of it using TFP. To run a Monte Carlo simulation, values are sampled at random from the input probability distribution. Monte Carlo Comparison of Approximate Tolerance Intervals for the ... Go to: History of Monte Carlo Simulation MCMCpoisson : Markov Chain Monte Carlo for Poisson Regression Monte Carlo Now I want to simulate it to evaluate the perfomance of my MLE. Approximation For example in radioactive decay in which the … Monte Carlo The user supplies data and priors, and a sample from the posterior distribution is returned as an mcmc object, which can be subsequently analyzed with functions provided in the …