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Volumn 8, Issue 1, 1999, Pages 93-108

Hypothesis tests of convergence in markov chain monte carlo?

Author keywords

Convergence diagnostic; Gibbs sampler; Nonparametric test; Permutation test

Indexed keywords


EID: 0033245236     PISSN: 10618600     EISSN: 15372715     Source Type: Journal    
DOI: 10.1080/10618600.1999.10474803     Document Type: Article
Times cited : (8)

References (23)
  • 3
    • 0346205399 scopus 로고    scopus 로고
    • Markov Chain Monte Carlo Method and its Application
    • Brooks, S. P. (1998), “Markov Chain Monte Carlo Method and its Application,” The Statistician, 47, 69-100.
    • (1998) The Statistician , vol.47 , pp. 69-100
    • Brooks, S.P.1
  • 5
    • 0000462548 scopus 로고    scopus 로고
    • Assessing Convergence of Markov Chain Monte Carlo Algorithms
    • Brooks, S. P., and Roberts, G. O. (in press), “Assessing Convergence of Markov Chain Monte Carlo Algorithms,” Statistics and Computing.
    • Statistics and Computing.
    • Brooks, S.P.1    Roberts, G.O.2
  • 7
    • 0030539336 scopus 로고    scopus 로고
    • Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
    • Cowles, M. K., and Carlin, B. P. (1996), “Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review,” Journal of the American Statistical Association, 91, 883-904.
    • (1996) Journal of the American Statistical Association , vol.91 , pp. 883-904
    • Cowles, M.K.1    Carlin, B.P.2
  • 8
    • 84972491080 scopus 로고
    • Comment: Monitoring Convergence of the Gibbs Sampler: Further Experience with the Gibbs Stopper
    • Cui, L., Tanner, M. A., Sinha, D., and Hall, W. J. (1992), “Comment: Monitoring Convergence of the Gibbs Sampler: Further Experience with the Gibbs Stopper,” Statistical Science, 7, 483-486.
    • (1992) Statistical Science , vol.7 , pp. 483-486
    • Cui, L.1    Tanner, M.A.2    Sinha, D.3    Hall, W.J.4
  • 11
    • 84972492387 scopus 로고
    • Inferences from Iterative Simulation using Multiple Sequences
    • Gelman, A., and Rubin, D. B. (1992a), “Inferences from Iterative Simulation using Multiple Sequences,” Statistical Science, 7, 457-472.
    • (1992) Statistical Science , vol.7 , pp. 457-472
    • Gelman, A.1    Rubin, D.B.2
  • 12
    • 0001032162 scopus 로고
    • A Single Series from the Gibbs Sampler Provides a False Sense of Security
    • J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith, Oxford: Oxford University Press
    • Gelman, A., and Rubin, D. B (1992b), “A Single Series from the Gibbs Sampler Provides a False Sense of Security,” in Bayesian Statistics 4, eds. J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith, Oxford: Oxford University Press, pp. 625-631.
    • (1992) Bayesian Statistics 4 , pp. 625-631
    • Gelman, A.1    Rubin, D.B.2
  • 16
    • 0000262406 scopus 로고
    • A Slowly Mixing Markov Chain With Implications for Gibbs Sampling
    • Matthews, P. (1993), “A Slowly Mixing Markov Chain With Implications for Gibbs Sampling,” Statistics and Probability Letters, 17, 213-236.
    • (1993) Statistics and Probability Letters , vol.17 , pp. 213-236
    • Matthews, P.1
  • 17
    • 0000566364 scopus 로고
    • Computable Bounds for Geometric Convergence Rates of Markov Chains
    • Meyn, S. P., and Tweedie, R. L. (1994), “Computable Bounds for Geometric 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
  • 19
    • 84923618271 scopus 로고
    • Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo
    • Rosenthal, J. S. (1995a), “Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo,” Journal of the American Statistical Association, 90, 558-566.
    • (1995) Journal of the American Statistical Association , vol.90 , pp. 558-566
    • Rosenthal, J.S.1
  • 20
    • 0001096889 scopus 로고
    • Rates of Convergence for Gibbs Sampling for Variance Component Models
    • Rosenthal, J. S (1995b), “Rates of Convergence for Gibbs Sampling for Variance Component Models,” The Annals of Statistics, 23, 740-761.
    • (1995) The Annals of Statistics , vol.23 , pp. 740-761
    • Rosenthal, J.S.1
  • 21
    • 0003053548 scopus 로고
    • Bayesian Computation via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods
    • Smith, A. F. M., and Roberts, G. O. (1993), “Bayesian Computation via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods,” Journal of the Royal Statistical Society, Ser. B, 55, 3-23.
    • (1993) Journal of the Royal Statistical Society, Ser. B , vol.55 , pp. 3-23
    • Smith, A.F.M.1    Roberts, G.O.2
  • 23
    • 0000576595 scopus 로고
    • Markov Chains for Exploring Posterior Distributions
    • (with discussion)
    • Tierney, L. (1994), “Markov Chains for Exploring Posterior Distributions” (with discussion), The Annals of Statistics, 22, 1701-1762.
    • (1994) The Annals of Statistics , vol.22 , pp. 1701-1762
    • Tierney, L.1


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