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Volumn 18, Issue 6, 1997, Pages 593-614

Bayesian models for non-linear autoregressions

Author keywords

Autoregressive time series; Bayesian computations; Mixture models; Nonlinear time series

Indexed keywords


EID: 0000222561     PISSN: 01439782     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9892.00070     Document Type: Article
Times cited : (20)

References (22)
  • 1
    • 55549084723 scopus 로고
    • Bayes inference via Gibbs sampling of autoregressive time series subject to Markov mean and variance shifts
    • ALBERT, J. and CHIB, S. (1993) Bayes inference via Gibbs sampling of autoregressive time series subject to Markov mean and variance shifts. J. Bus. Econ. Stat. 11, 1-15.
    • (1993) J. Bus. Econ. Stat. , vol.11 , pp. 1-15
    • Albert, J.1    Chib, S.2
  • 2
    • 0000708831 scopus 로고
    • Mixtures of Dirichlet processes with applications to non-parametric problems
    • ANTONIAK, C. E. (1974) Mixtures of Dirichlet processes with applications to non-parametric problems. Ann. Stat. 2, 1152-74.
    • (1974) Ann. Stat. , vol.2 , pp. 1152-1174
    • Antoniak, C.E.1
  • 3
    • 0001741790 scopus 로고
    • A look at some data on the Old Faithful geyser
    • AZZALINI, A. and BOWMAN, A. W. (1990) A look at some data on the Old Faithful geyser. Appl. Stat. 39, 357-65.
    • (1990) Appl. Stat. , vol.39 , pp. 357-365
    • Azzalini, A.1    Bowman, A.W.2
  • 4
    • 0000904732 scopus 로고    scopus 로고
    • A semi-parametric Bayesian model for randomised block designs
    • BUSH, C. A. and MACEACHERN, S. N. (1996) A semi-parametric Bayesian model for randomised block designs. Biometrika 83, 275-85.
    • (1996) Biometrika , vol.83 , pp. 275-285
    • Bush, C.A.1    Maceachern, S.N.2
  • 5
    • 84950445183 scopus 로고
    • A Monte Carlo approach to non-normal and non-linear state-space modelling
    • CARLIN, B. P., POLSON, N. G. and STOFFER, D. S. (1992) A Monte Carlo approach to non-normal and non-linear state-space modelling. J. Am. Stat. Assoc. 87, 493-500.
    • (1992) J. Am. Stat. Assoc. , vol.87 , pp. 493-500
    • Carlin, B.P.1    Polson, N.G.2    Stoffer, D.S.3
  • 7
    • 84950937290 scopus 로고
    • Bayesian density estimation and inference using mixtures
    • ESCOBAR M. D. and WEST, M. (1995) Bayesian density estimation and inference using mixtures. J. Am. Stat. Assoc. 90, 577-88.
    • (1995) J. Am. Stat. Assoc. , vol.90 , pp. 577-588
    • Escobar, M.D.1    West, M.2
  • 8
    • 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. Am. Stat. Assoc. 85, 389-409.
    • (1990) J. Am. Stat. Assoc. , vol.85 , pp. 389-409
    • Gelfand, A.E.1    Smith, A.F.M.2
  • 9
    • 0001032163 scopus 로고
    • Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments
    • (eds J. O. Berger, J. M. Bernardo, A. P. Dawid and A. F. M. Smith) Oxford: Oxford University Press
    • GEWEKE, J. (1992) Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In Bayesian Statistics 4 (eds J. O. Berger, J. M. Bernardo, A. P. Dawid and A. F. M. Smith) pp. 169-94 Oxford: Oxford University Press.
    • (1992) Bayesian Statistics , vol.4 , pp. 169-194
    • Geweke, J.1
  • 10
    • 84981378466 scopus 로고
    • Bayesian threshold auto-regressive models for nonlinear time series
    • _ and TERUI, N. (1993) Bayesian threshold auto-regressive models for nonlinear time series. J. Time Ser. Anal. 14(5), 441.
    • (1993) J. Time Ser. Anal. , vol.14 , Issue.5 , pp. 441
    • Terui, N.1
  • 12
    • 84952181953 scopus 로고
    • Bayesian analysis of stochastic volatility models
    • JACQUIER, E., POLSON, N. G. and ROSSI, P. E. (1994) Bayesian analysis of stochastic volatility models. J. Bus. Econ. Stat. 12, 371-89.
    • (1994) J. Bus. Econ. Stat. , vol.12 , pp. 371-389
    • Jacquier, E.1    Polson, N.G.2    Rossi, P.E.3
  • 13
    • 84972808999 scopus 로고
    • Estimating normal means with a conjugate style Dirichlet process prior
    • MACEACHERN, S. N. (1994) Estimating normal means with a conjugate style Dirichlet process prior. Commun. Stat. Simul. Comput. 23(3), pp. 727-741.
    • (1994) Commun. Stat. Simul. Comput. , vol.23 , Issue.3 , pp. 727-741
    • Maceachern, S.N.1
  • 14
    • 0032221058 scopus 로고    scopus 로고
    • Estimating mixture of Dirichlet process models
    • to appear
    • _ and MÜLLER, P. (1998) Estimating mixture of Dirichlet process models. J. Comp. Graph. Stat. (to appear).
    • (1998) J. Comp. Graph. Stat.
    • Müller, P.1
  • 15
    • 0002881872 scopus 로고    scopus 로고
    • Bayesian curve fitting using multivariate normal mixtures
    • MÜLLER, P., ERKANLI, A. and WEST, M. (1996) Bayesian curve fitting using multivariate normal mixtures. Biometrika 83, 67-79.
    • (1996) Biometrika , vol.83 , pp. 67-79
    • Müller, P.1    Erkanli, A.2    West, M.3
  • 17
    • 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 (with discussion). J. R. Stat. Soc., Ser. B 55, 3-23.
    • (1993) J. R. Stat. Soc., Ser. B , vol.55 , pp. 3-23
    • Smith, A.F.M.1    Roberts, G.O.2
  • 18
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions
    • TIERNEY, L. (1994) Markov chains for exploring posterior distributions. Ann. Stat. 22, 1701-28.
    • (1994) Ann. Stat. , vol.22 , pp. 1701-1728
    • Tierney, L.1
  • 21
    • 84889223060 scopus 로고
    • Bayesian inference in cyclical component dynamic linear models
    • _ (1995) Bayesian inference in cyclical component dynamic linear models. J. Am. Stat. Assoc. 90, 1301-12.
    • (1995) J. Am. Stat. Assoc. , vol.90 , pp. 1301-1312
  • 22
    • 0002612391 scopus 로고
    • Hierarchical priors and mixture models, with application in regression and density estimation
    • (eds A. F. M. Smith and P. Freeman). New York: Wiley
    • WEST, M., MÜLLER, P. and ESCOBAR, M. D. (1994) Hierarchical priors and mixture models, with application in regression and density estimation. In Aspects of Uncertainty: A Tribute to D. V. Lindley (eds A. F. M. Smith and P. Freeman). New York: Wiley.
    • (1994) Aspects of Uncertainty: A Tribute to D. V. Lindley
    • West, M.1    Müller, P.2    Escobar, M.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.