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Volumn 10, Issue 3, 2000, Pages 726-752

Analysis of a nonreversible Markov chain sampler

Author keywords

Markov chain Monte Carlo; Metropolis algorithm; Nonreversible Markov chain

Indexed keywords


EID: 0034346693     PISSN: 10505164     EISSN: None     Source Type: Journal    
DOI: 10.1214/aoap/1019487508     Document Type: Article
Times cited : (294)

References (34)
  • 1
    • 0000361667 scopus 로고
    • Over-relaxation method for the Monte Carlo evaluation of the partition function for multiquadratic actions
    • ADLER, S. L. (1981). Over-relaxation method for the Monte Carlo evaluation of the partition function for multiquadratic actions. Phys. Rev. D 23 2901-2904.
    • (1981) Phys. Rev. D , vol.23 , pp. 2901-2904
    • Adler, S.L.1
  • 4
    • 0002063370 scopus 로고
    • Gray codes for reflection groups
    • CONWAY, J., SLOANE, N. and WILKS, A. (1989). Gray codes for reflection groups. Graphs Combin. 5 315-325.
    • (1989) Graphs Combin. , vol.5 , pp. 315-325
    • Conway, J.1    Sloane, N.2    Wilks, A.3
  • 9
    • 0000406119 scopus 로고
    • Strong stationary times via a new form of duality
    • DIACONIS, P. and FILL, J. (1990). Strong stationary times via a new form of duality. Ann. Probab. 18 1483-1522.
    • (1990) Ann. Probab. , vol.18 , pp. 1483-1522
    • Diaconis, P.1    Fill, J.2
  • 10
    • 0001874271 scopus 로고    scopus 로고
    • Rectangular arrays with fixed margins
    • Springer, New York
    • DIACONIS, P. and GANGOLLI, A. (1996). Rectangular arrays with fixed margins. In Finite Markov Chain Renaissance 15-42. Springer, New York.
    • (1996) Finite Markov Chain Renaissance , pp. 15-42
    • Diaconis, P.1    Gangolli, A.2
  • 11
    • 0000454234 scopus 로고
    • Gray codes for randomization procedures
    • DIACONIS, P. and HOLMES, S. (1994). Gray codes for randomization procedures. Statist. Comput. 4 207-302.
    • (1994) Statist. Comput. , vol.4 , pp. 207-302
    • Diaconis, P.1    Holmes, S.2
  • 12
    • 0002031070 scopus 로고
    • Moderate growth and random walk on finite groups
    • DIACONIS, P. and SALOFF-COSTE, L. (1994). Moderate growth and random walk on finite groups. Geom. Funct. Anal. 4 1-36.
    • (1994) Geom. Funct. Anal. , vol.4 , pp. 1-36
    • Diaconis, P.1    Saloff-Coste, L.2
  • 13
    • 0032136909 scopus 로고    scopus 로고
    • What do we know about the Metropolis algorithm?
    • DIACONIS, P. and SALOFF-COSTE, L. (1998). What do we know about the Metropolis algorithm? J. Comput. System Sci. 57 20-36.
    • (1998) J. Comput. System Sci. , vol.57 , pp. 20-36
    • Diaconis, P.1    Saloff-Coste, L.2
  • 14
    • 0032387555 scopus 로고    scopus 로고
    • Algebraic algorithms for sampling from conditional distributions
    • DIACONIS, P. and STURMFELS, B. (1998). Algebraic algorithms for sampling from conditional distributions. Ann. Statist. 26 363-397.
    • (1998) Ann. Statist. , vol.26 , pp. 363-397
    • Diaconis, P.1    Sturmfels, B.2
  • 16
    • 84950453304 scopus 로고
    • Sampling-based approaches to calculating marginal densities
    • GELFAND, A. E. and SMITH, A. F. M. (1990). Sampling-based approaches to calculating marginal densities. J. Amer. Statist. Assoc. 85 398-409.
    • (1990) J. Amer. Statist. Assoc. , vol.85 , pp. 398-409
    • Gelfand, A.E.1    Smith, A.F.M.2
  • 17
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
    • GEMAN, S. and GEMAN, D. (1984). Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Machine Intelligence 6 721-741.
    • (1984) IEEE Trans. Pattern Anal. Machine Intelligence , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 18
    • 0030980644 scopus 로고    scopus 로고
    • Large hierarchical Bayesian analysis of multivariate survival data
    • GUSTAFSON, P. (1997). Large hierarchical Bayesian analysis of multivariate survival data. Biometrics 53 230-242.
    • (1997) Biometrics , vol.53 , pp. 230-242
    • Gustafson, P.1
  • 19
    • 0042595749 scopus 로고    scopus 로고
    • A guided walk Metropolis algorithm
    • GUSTAFSON, P. (1998). A guided walk Metropolis algorithm. Statist. Comput. 8 357-364.
    • (1998) Statist. Comput. , vol.8 , pp. 357-364
    • Gustafson, P.1
  • 21
    • 0009349032 scopus 로고
    • A generalized guided Monte Carlo algorithm
    • HOROWITZ, A. M. (1991). A generalized guided Monte Carlo algorithm. Phys. Lett. B 268 247-252.
    • (1991) Phys. Lett. B , vol.268 , pp. 247-252
    • Horowitz, A.M.1
  • 23
    • 0003210186 scopus 로고
    • The theory of hybrid stochastic algorithms
    • P. H. Damgaard, H. Hüffel and A. Rosenblum, eds. Plenum, New York
    • KENNEDY, A. D. (1990). The theory of hybrid stochastic algorithms. In Probabilistic Methods in Quantum Field Theory and Quantum Gravity (P. H. Damgaard, H. Hüffel and A. Rosenblum, eds.). Plenum, New York.
    • (1990) Probabilistic Methods in Quantum Field Theory and Quantum Gravity
    • Kennedy, A.D.1
  • 24
    • 21344458535 scopus 로고    scopus 로고
    • Metropolized independent sampling with comparisons to rejection sampling and importance sampling
    • LIU, J. (1996). Metropolized independent sampling with comparisons to rejection sampling and importance sampling. Statist. Comput. 6 113-119.
    • (1996) Statist. Comput. , vol.6 , pp. 113-119
    • Liu, J.1
  • 27
  • 29
    • 0001692404 scopus 로고    scopus 로고
    • Suppressing random walks in Markov chain Monte Carlo using ordered overrelaxation
    • M. I. Jordan, ed. Kluwer, Dordrecht
    • NEAL, R. M. (1998). Suppressing random walks in Markov chain Monte Carlo using ordered overrelaxation. In Learning in Graphical Models (M. I. Jordan, ed.) 205-225. Kluwer, Dordrecht.
    • (1998) Learning in Graphical Models , pp. 205-225
    • Neal, R.M.1
  • 30
    • 0000051645 scopus 로고    scopus 로고
    • Updating schemes, correlation structure, blocking and parameterisation for the Gibbs sampler
    • ROBERTS, G. O. and SAHU, S. K. (1997). Updating schemes, correlation structure, blocking and parameterisation for the Gibbs sampler. J. Roy. Statist. Soc. B 59 291-317.
    • (1997) J. Roy. Statist. Soc. B , vol.59 , pp. 291-317
    • Roberts, G.O.1    Sahu, S.K.2
  • 32
    • 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. J. Roy. Statist. Soc. 55 3-23.
    • (1993) J. Roy. Statist. Soc. , vol.55 , pp. 3-23
    • Smith, A.F.M.1    Roberts, G.O.2
  • 33
    • 0000576595 scopus 로고
    • Markov Chains for exploring posterior distributions
    • TIERNEY, L. (1994). Markov Chains for exploring posterior distributions. Ann. Statist. 22 1701-1762.
    • (1994) Ann. Statist. , vol.22 , pp. 1701-1762
    • Tierney, L.1
  • 34
    • 0024771880 scopus 로고
    • Introduction to algorithms for Monte Carlo simulations and their application to QCD
    • TOUSSAINT, D. (1989). Introduction to algorithms for Monte Carlo simulations and their application to QCD. Comput. Phys. Comm. 56 69-92.
    • (1989) Comput. Phys. Comm. , vol.56 , pp. 69-92
    • Toussaint, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.