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Volumn , Issue , 2005, Pages 477-508

Parallel bayesian computation

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EID: 85026233840     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (58)

References (43)
  • 1
    • 0004176090 scopus 로고
    • Arnold, London
    • A. O’Hagan. Bayesian Inference, volume 2B of Kendall’s Advanced Theory of Statistics. Arnold, London, 1994.
    • (1994) Bayesian Inference
    • O’Hagan, A.1
  • 5
    • 0004047518 scopus 로고    scopus 로고
    • Oxford Science Publications, Oxford
    • S.L. Lauritzen. Graphical Models. Oxford Science Publications, Oxford, 1996.
    • (1996) Graphical Models
    • Lauritzen, S.L.1
  • 8
    • 0141457184 scopus 로고    scopus 로고
    • Conditional simulation from highly structured gaussian systems, with application to blocking-mcmc for the bayesian analysis of very large linear models
    • D.J. Wilkinson and S.K.H. Yeung. Conditional simulation from highly structured Gaussian systems, with application to blocking-MCMC for the Bayesian analysis of very large linear models. Statistics and Computing, 12:287-300, 2002.
    • (2002) Statistics and Computing , vol.12 , pp. 287-300
    • Wilkinson, D.J.1    Yeung, S.K.H.2
  • 9
    • 84950442428 scopus 로고
    • Propagation of probabilities, means, and variances in mixed graphical association models
    • S.L. Lauritzen. Propagation of probabilities, means, and variances in mixed graphical association models. Journal of the American Statistical Association, 87(420):1098-1108, 1992.
    • (1992) Journal of the American Statistical Association , vol.87 , Issue.420 , pp. 1098-1108
    • Lauritzen, S.L.1
  • 10
  • 11
    • 0035649131 scopus 로고    scopus 로고
    • Fast sampling of gaussian markov random fields
    • H. Rue. Fast sampling of Gaussian Markov random fields. Journal of the Royal Statistical Society, B:63(2):325-338, 2001.
    • (2001) Journal of the Royal Statistical Society , vol.63 , Issue.2 , pp. 325-338
    • Rue, H.1
  • 18
    • 53149111195 scopus 로고    scopus 로고
    • Random number generators for parallel applications
    • Monte Carlo Methods in Chemical Physics
    • A. Srinivasan, D.M. Ceperley, and M. Mascagni. Random number generators for parallel applications. Advances in Chemical Physics, 105:13-36, 1999. Monte Carlo Methods in Chemical Physics.
    • (1999) Advances in Chemical Physics , vol.105 , pp. 13-36
    • Srinivasan, A.1    Ceperley, D.M.2    Mascagni, M.3
  • 19
  • 21
    • 0346205399 scopus 로고    scopus 로고
    • Markov chain monte carlo method and its application
    • S.P. Brooks. Markov chain Monte Carlo method and its application. The Statistician, 47(1):69-100, 1998.
    • (1998) The Statistician , vol.47 , Issue.1 , pp. 69-100
    • Brooks, S.P.1
  • 22
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • A. Gelman and D. Rubin. Inference from iterative simulation using multiple sequences. Statistical Science, 7:457-511, 1992.
    • (1992) Statistical Science , vol.7 , pp. 457-511
    • Gelman, A.1    Rubin, D.2
  • 23
    • 84972511893 scopus 로고
    • Practical markov chain monte carlo
    • C.J. Geyer. Practical Markov chain Monte Carlo. Statistical Science, 7:473-511, 1992.
    • (1992) Statistical Science , vol.7 , pp. 473-511
    • Geyer, C.J.1
  • 24
    • 0000051645 scopus 로고    scopus 로고
    • Updating schemes, correlation structure, blocking and parameterisation for the gibbs sampler
    • G.O. Roberts and S.K. Sahu. Updating schemes, correlation structure, blocking and parameterisation for the Gibbs sampler. Journal of the Royal Statistical Society, B59(2):291-317, 1997.
    • (1997) Journal of the Royal Statistical Society , vol.B59 , Issue.2 , pp. 291-317
    • Roberts, G.O.1    Sahu, S.K.2
  • 25
    • 0005193926 scopus 로고    scopus 로고
    • Exact sampling with coupled markov chains and applications to statistical mechanics
    • J.G. Propp and D.B. Wilson. Exact sampling with coupled Markov chains and applications to statistical mechanics. Random Structures and Algorithms, 9:223-252, 1996.
    • (1996) Random Structures and Algorithms , vol.9 , pp. 223-252
    • Propp, J.G.1    Wilson, D.B.2
  • 26
    • 0006407254 scopus 로고    scopus 로고
    • Winbugs - a bayesian modelling framework: Concepts, structure, and extensibility
    • D.J. Lunn, A. Thomas, N. Best, and D.J. Spiegelhalter. WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing, 10(4):325-337, 2000.
    • (2000) Statistics and Computing , vol.10 , Issue.4 , pp. 325-337
    • Lunn, D.J.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.J.4
  • 27
    • 84950758368 scopus 로고
    • The calculation of posterior distributions by data augmentation
    • M.A. Tanner and W.H. Wong. The calculation of posterior distributions by data augmentation. Journal of the American Statistical Association, 82(398):528-540, 1987.
    • (1987) Journal of the American Statistical Association , vol.82 , Issue.398 , pp. 528-540
    • Tanner, M.A.1    Wong, W.H.2
  • 28
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions (With discussion)
    • L. Tierney. Markov chains for exploring posterior distributions (with discussion). Annals ofStatistics, 21:1701-1762, 1994.
    • (1994) Annals Ofstatistics , vol.21 , pp. 1701-1762
    • Tierney, L.1
  • 30
    • 77955275656 scopus 로고    scopus 로고
    • Dynamic lattice-markov spatio-temporal models for environmental data
    • J.M. Bernardo et al., eds., Oxford University Press, Tenerife
    • L.M. Garside and D.J. Wilkinson. Dynamic lattice-Markov spatio-temporal models for environmental data. In J.M. Bernardo et al., eds., Bayesian Statistics, vol. 7. Oxford University Press, Tenerife, 2003, pp. 535-542.
    • (2003) Bayesian Statistics , vol.7 , pp. 535-542
    • Garside, L.M.1    Wilkinson, D.J.2
  • 31
    • 0036900109 scopus 로고    scopus 로고
    • On block updating in markov random field models for disease mapping
    • L. Knorr-Held and H. Rue. On block updating in Markov random field models for disease mapping. Scandanavian Journal of Statistics, 29(4):597-614.
    • Scandanavian Journal of Statistics , vol.29 , Issue.4 , pp. 597-614
    • Knorr-Held, L.1    Rue, H.2
  • 32
    • 2442627902 scopus 로고    scopus 로고
    • Non-centered parameterisations for hierarchical models and data augmentation (With discussion)
    • J.M. Bernardo et al., eds., Oxford University Press, Tenerife
    • O. Papaspiliopoulos, G.O. Roberts, and M. Skold. Non-centered parameterisations for hierarchical models and data augmentation (with discussion). In J.M. Bernardo et al., eds., Bayesian Statistics, vol. 7, Oxford University Press, Tenerife, 2003, pp. 307-326.
    • (2003) Bayesian Statistics , vol.7 , pp. 307-326
    • Papaspiliopoulos, O.1    Roberts, G.O.2    Skold, M.3
  • 34
    • 85057428352 scopus 로고    scopus 로고
    • Parallel algorithms for markov chain monte carlo methods in latent gaussian models. Technical report
    • M. Whiley and S.P. Wilson. Parallel algorithms for Markov chain Monte Carlo methods in latent Gaussian models. Technical report, Department of Statistics, Trinity College Dublin, 2004. 14: pp 171-179.
    • (2004) Department of Statistics, Trinity College Dublin , vol.14 , pp. 171-179
    • Whiley, M.1    Wilson, S.P.2
  • 37
    • 0001981538 scopus 로고    scopus 로고
    • Time varying covariances: A factor stochastic volatility approach
    • J.-M. Bernardo et al., eds., Oxford University Press, Oxford
    • M. Pitt and N. Shephard. Time varying covariances: a factor stochastic volatility approach. In J.-M. Bernardo et al., eds., Bayesian Statistics vol. 6, Oxford University Press, Oxford, 1999, pp. 3-26.
    • (1999) Bayesian Statistics , vol.6 , pp. 3-26
    • Pitt, M.1    Shephard, N.2
  • 38
    • 0003258788 scopus 로고    scopus 로고
    • Likelihood analysis of non-gaussian measurement time series
    • N. Shephard and M. K. Pitt. Likelihood analysis of non-Gaussian measurement time series. Biometrika, 84(3):653-667, 1997.
    • (1997) Biometrika , vol.84 , Issue.3 , pp. 653-667
    • Shephard, N.1    Pitt, M.K.2
  • 39
    • 0001325243 scopus 로고
    • The simulation smoother for time-series models
    • P. de Jong and N. Shephard. The simulation smoother for time-series models. Biometrika, 82:339-350, 1995.
    • (1995) Biometrika , vol.82 , pp. 339-350
    • De Jong, P.1    Shephard, N.2
  • 40
    • 0001251517 scopus 로고    scopus 로고
    • Stochastic volatility: Likelihood inference and comparison with arch models
    • S. Kim, N. Shephard, and S. Chib. Stochastic volatility: likelihood inference and comparison with ARCH models. Reviews Economic Studies, 65:361-393, 1998.
    • (1998) Reviews Economic Studies , vol.65 , pp. 361-393
    • Kim, S.1    Shephard, N.2    Chib, S.3
  • 43
    • 84986397907 scopus 로고
    • Fitting nonlinear time-series models with applications to stochastic variance models
    • N. Shephard. Fitting nonlinear time-series models with applications to stochastic variance models. Journal of Applied Econometrics, 8(5):S135-S152, 1993.
    • (1993) Journal of Applied Econometrics , vol.8 , Issue.5 , pp. S135-S152
    • Shephard, N.1


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