Markov Chain Monte Carlo Toolkit
Posted: 12 Feb 2014 Last revised: 13 Feb 2014
Date Written: December 31, 2013
Abstract
This working paper contains facts and introductory concepts about Markov Chain Monte Carlo (MCMC) methods and algorithms. The aim is to provide the reader with a general introduction to the MCMC framework.
Keywords: Metropolis, Metropolis-Hastings Sampler, Blockwise Sampler, Component-wise Sampler, Gibbs Sampler, Hybrid Markov Chain Monte Carlo, Hamiltonian MCMC
JEL Classification: C10, C11, C15, C19
Suggested Citation: Suggested Citation
Dalessandro, Antonio and Dalessandro, Antonio, Markov Chain Monte Carlo Toolkit (December 31, 2013). Available at SSRN: https://ssrn.com/abstract=2394006
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