Archives for bayesian inference

25 Apr

All you need to know about Markov Chain Monte Carlo

Markov Chain Monte Carlo (MCMC) refers to a class of methods for sampling from a probability distribution to construct the most likely distribution. Logistic distribution cannot be directly calculated, so instead generates thousands of values preferred as samples for the parameters of the function to create an approximation of the distribution.