CosmoClub: A introductory approach to Monte Carlo Markov Chain

Published by Arthur Loureiro on November 6, 2014 at 14:44.

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.

 

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