The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

Alternatively, you can also download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link below.

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Download this PDF file Fullscreen Fullscreen Off

References

  1. D.J. Aldous and J.A. Fill. (2001), Reversible Markov chains and random walks on graphs. Book in preparation. Math. Review number not available.
  2. N. Alon and J. H. Spencer. (1992), The Probabilistic Method. Wiley. Math. Review 93h:60002
  3. E. Behrends. (2000), Introduction to Markov Chains, with special emphasis on rapid mixing. Veiweg. Math. Review 2000j:60083
  4. M. H. Chen, Q. M. Shao, and J.G. Ibrahim. (2000), Monte Carlo Methods in Bayesian Computation. Springer-Verlag. Math. Review 2000k:65014
  5. P. Diaconis and L. Saloff-Coste. (1998), What do we know about the Metropolis algorithm ? J. Comput. System Sci. 57 20-36. Math. Review 2000b:68094
  6. S.T. Garren and R.L. Smith. (2000), Estimating the second largest eigenvalue of a Markov transition matrix. Bernoulli 6 215--242. Math. Review 2001b:60087
  7. W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, editors. (1996), Markov Chain Monte Carlo in Practice. London, Chapman and Hall. Math. Review 97d:62006
  8. P. Lezaud. (1998), Chernoff-type bound for finite Markov chains. Ann. Appl. Probab. 8 849--867. Math. Review 99f:60061
  9. J.S. Liu. (2001), Monte Carlo Strategies in Scientific Computing. Springer. Math. Review number not available.
  10. D. Randall and A. Sinclair. (2000), Self-testing algorithms for self-avoiding walks. J. Math. Phys. 41 1570--1584. Math. Review 2001c:82033
  11. C.P. Robert, editor. (1998), Discretization and MCMC Convergence Assessment. Number 135 in Lecture Notes in Statistics. Springer-Verlag. Math. Review 99m:65012
  12. C.P. Robert and G. Casella. (1999), Monte Carlo Statistical Methods. Springer-Verlag. Math. Review 2001g:62020
Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.