**S.P Brooks.**- Quantitative convergence diagnosis for mcmc via cusums.

Technical report, University of Bristol, 1997. **S.P. Brooks and A. Gelman.**- Alternative methods for monitoring convergence of iterative simulations.

*Computational and Graphical Statistics*, 1997. **S.P. Brooks and A. Gelman.**- Some issues in monitoring convergence of iterative simulations.

Technical report, University of Bristol, 1998. **S.P. Brooks and G.O. Roberts.**- Assessing convergence of markov chain monte carlo algorithms.

*Statistics and Computing*, 1998. **Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald R. Rubin.**-
*Bayesian Data Analysis*.

Texts in Statistical Science. Chapman & Hall, 1995. **Radford M. Neal.**-
*Bayesian Learning for Neural Networks*, volume 118 of*Lecture Notes in Statistics*.

Springer-Verlag, 1996. **A.E. Raftery and S.M. Lewis.**- How many iterations in the gibbs sampler.

Technical report, 1991. **B. Yu.**- Estimating l1 error of kernel estimator: Monitoring convergence of markov samplers.

Technical report, Dept. of Statistics. University of California, Berkeley, 1995. **B. Yu and Mykland P.**- Looking at markov samplers through cusum path plots: a simple diagnostic idea.

*Statistics and Computing*, 1997.