CosmoClub: A introductory approach to Monte Carlo Markov Chain
November 05, we’ll have Michel Aguena giving “A introductory approach to Monte Carlo Markov Chain”.
It’s 07/11 1pm @Jayme Tiomno Room
Abstract:
The Monte Carlo Markov Chain (MCMC) is a method for sampling from probability distributions. It is extremely helpful for the estimation of cosmological parameters, for they can map a parameter space with a large number of dimensions faster and more accurately than grid methods. In this talk I will give a brief introduction on MCMC and will show a few examples of its application in python.