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Volumn 12, Issue 3, 1998, Pages 303-320

Simulating the invariant measures of Markov chains using backward coupling at regeneration times

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING; INDUSTRIAL ENGINEERING;

EID: 0032394575     PISSN: 02699648     EISSN: None     Source Type: Journal    
DOI: 10.1017/s0269964800005209     Document Type: Article
Times cited : (15)

References (20)
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    • Borovkov, A.A.1    Foss, S.G.2
  • 2
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    • Two ergodicity criteria for stochastically recursive sequences
    • Borovkov, A.A. & Foss, S.G. (1994). Two ergodicity criteria for stochastically recursive sequences. Acta Applicandae Mathematicae 34: 125-134.
    • (1994) Acta Applicandae Mathematicae , vol.34 , pp. 125-134
    • Borovkov, A.A.1    Foss, S.G.2
  • 3
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    • Piecewise linear test functions for stability and instability of queueing networks
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    • Down, D.G. & Meyn, S.P. Piecewise linear test functions for stability and instability of queueing networks. Queueing Systems (to appear).
    • Queueing Systems
    • Down, D.G.1    Meyn, S.P.2
  • 4
    • 0032396902 scopus 로고    scopus 로고
    • An interruptible algorithm for perfect sampling via Markov chains
    • to appear
    • Fill, J.A. (1998). An interruptible algorithm for perfect sampling via Markov chains. Annals of Applied Probability (to appear).
    • (1998) Annals of Applied Probability
    • Fill, J.A.1
  • 5
    • 0001418086 scopus 로고
    • On ergodicity conditions in multi-server queues
    • Foss, S.G. (1983). On ergodicity conditions in multi-server queues. Siberian Mathematics Journal 24: 168-175.
    • (1983) Siberian Mathematics Journal , vol.24 , pp. 168-175
    • Foss, S.G.1
  • 6
    • 0000978393 scopus 로고    scopus 로고
    • Perfect simulation and backward coupling
    • to appear; preprint at
    • Foss, S.G. & Tweedie, R.L. Perfect simulation and backward coupling. Stochastic Models (to appear; preprint at http://www.stats.bris.ac.uk/MCMC/).
    • Stochastic Models
    • Foss, S.G.1    Tweedie, R.L.2
  • 9
    • 0000931378 scopus 로고    scopus 로고
    • Perfect simulation for the area-interaction point process
    • C.C. Heyde and L. Accardi (eds.), Singapore: World Scientific Press
    • Kendall, W.S. (1996). Perfect simulation for the area-interaction point process. In C.C. Heyde and L. Accardi (eds.), Probability perspectives. Singapore: World Scientific Press.
    • (1996) Probability Perspectives
    • Kendall, W.S.1
  • 12
    • 0030086282 scopus 로고    scopus 로고
    • Geometric convergence rates for stochastically ordered Markov chains
    • Lund, R.B. & Tweedie, R.L. (1996). Geometric convergence rates for stochastically ordered Markov chains. Mathematics of Operations Research 21: 182-194.
    • (1996) Mathematics of Operations Research , vol.21 , pp. 182-194
    • Lund, R.B.1    Tweedie, R.L.2
  • 15
    • 0000566364 scopus 로고
    • Computable bounds for convergence rates of Markov chains
    • Meyn, S.P. & Tweedie, R.L. (1994). Computable bounds for convergence rates of Markov chains. Annals of Applied Probability 4: 981-1011.
    • (1994) Annals of Applied Probability , vol.4 , pp. 981-1011
    • Meyn, S.P.1    Tweedie, R.L.2
  • 16
    • 0039648854 scopus 로고    scopus 로고
    • Perfect simulation of conditionally specified models
    • to appear; preprint at
    • Møller, J. (1997). Perfect simulation of conditionally specified models. Journal of the Royal Statistics Society, Series B (to appear; preprint at http://www.stats.bris.ac.uk/MCMC/).
    • (1997) Journal of the Royal Statistics Society, Series B
    • Møller, J.1
  • 17
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    • Exact sampling from a continuous state space
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    • Murdoch, D.J. & Green, P.J. Exact sampling from a continuous state space. Scandinavian Journal of Statistics (to appear; preprint at http://www.stats.bris.ac.uk/MCMC/).
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    • Murdoch, D.J.1    Green, P.J.2
  • 18
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    • Exact sampling with coupled Markov chains and applications to statistical mechanics
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  • 19
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    • Minorization conditions and convergence rates for Markov chain Monte Carlo
    • Rosenthal, J.S. (1995). Minorization conditions and convergence rates for Markov chain Monte Carlo. Journal of the American Statistics Association 90: 558-566.
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    • Rosenthal, J.S.1


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