ABSTRACT
Markov chain Monte Carlo (MCMC) techniques are often necessary when working
with difficult multivariate probability densities. This chapter outlines some
applications of the Metropolis algorithm in a multi-dimensional setting.
Markov chain Monte Carlo (MCMC) techniques are often necessary when working
with difficult multivariate probability densities. This chapter outlines some
applications of the Metropolis algorithm in a multi-dimensional setting.