Free Access
Volume 3, 1999
Page(s) 89 - 106
Published online 15 August 2002
  1. R. Bellman, Introduction to matrix analysis. McGraw-Hill, London (1960). [Google Scholar]
  2. N. Bouleau and D. Lépingle, Numerical methods for stochastic processes. Wiley, New York (1994). [Google Scholar]
  3. E. Çinlar, Introduction to stochastic processes. Prentice Hall, New York (1975). [Google Scholar]
  4. P. Diaconis, The cutoff phenomenon in finite Markov chains. Proc. Natl. Acad. Sci. USA 93 (1996) 1659-1664. [CrossRef] [Google Scholar]
  5. P. Diaconis, R. Graham and J. Morrison, Asymptotic analysis of a random walk on a hypercube with many dimensions. Rand. Struct. Algorithms 1 (1990) 51-72. [CrossRef] [Google Scholar]
  6. P. Diaconis and M. Shahshahani, Time to reach stationarity in the Bernoulli-Laplace diffusion model. SIAM J. Math. Anal. 18 (1987) 208-218. [CrossRef] [MathSciNet] [Google Scholar]
  7. P. Doukhan, Mixing, properties and examples. Springer-Verlag, New York, Lecture Notes en Statist. 85 (1994). [Google Scholar]
  8. W. Feller, An introduction to probability theory and its applications, Vol. I. Wiley, London (1968). [Google Scholar]
  9. G.S. Fishman, Monte-Carlo concepts algorithms and applications. Springer-Verlag, New York (1996). [Google Scholar]
  10. E. Giné, Lectures on some aspects of the bootstrap, P. Bernard, Ed., École d'été de probabilités de Saint-Flour XXVI, Springer-Verlag, New York, Lectures Notes in Math. 1664 (1997) 37-151. [Google Scholar]
  11. J. Keilson, Markov chain models - rarity and exponentiality. Springer-Verlag, New York. Appl. Math. Sci. 28 (1979). [Google Scholar]
  12. A.W. Massey, Stochastic orderings for Markov processes on partially ordered spaces. Math. Oper. Research 12 (1987) 350-367. [Google Scholar]
  13. P. Mathé, Relaxation of product Markov chains on product spaces. Preprint WIAS, Berlin (1997). [Google Scholar]
  14. A.E. Raftery and S. Lewis, Implementing MCMC, W.R. Gilks, S.T. Richardson and D.J. Spiegelhalter, Eds., Markov Chain Monte-Carlo in practice, Chapman and Hall, London (1992) 115-130. [Google Scholar]
  15. C.P. Robert, Méthodes de Monte-Carlo par chaînes de Markov. Economica, Paris (1996). [Google Scholar]
  16. L. Saloff-Coste, Lectures on finite Markov chains, P. Bernard, Ed., École d'été de probabilités de Saint-Flour XXVI, Springer-Verlag, New York, Lecture Notes in Math. 1664 (1997) 301-413. [Google Scholar]

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