Markov chain Monte Carlo estimation of autoregressive models with application to metal pollutant concentration in sludge

This paper provides an introduction to and an overview of Bayesian estimation, based on Markov chain Monte Carlo techniques. Autoregressive time series models are considered in some detail. Finally, an example involving the modelling of a metal pollutant concentration in sludge is presented.