EDP Sciences logo
Subscriber Authentication Point
Search
Menu
All issues Volume 3 (1999) ESAIM: PS, 3 (1999) 89-106 References
Free Access
Issue
ESAIM: PS
Volume 3, 1999
Page(s) 89 - 106
DOI https://doi.org/10.1051/ps:1999104
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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.