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.
Nesta sexta-feira (07/11), teremos Michel Aguena nos apresentando “A introductory approach to Monte Carlo Markov Chain”.
Dia 07/11 às 13h @ Sala Jayme Tiomno