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Volumn 21, Issue 3, 2011, Pages 415-430

Parallel multivariate slice sampling

Author keywords

Adaptive Markov chain Monte Carlo; Gaussian processes; Markov chain Monte Carlo; Parallel computing; Slice sampling; Spatial model

Indexed keywords


EID: 79958233922     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-010-9178-z     Document Type: Article
Times cited : (22)

References (41)
  • 1
    • 15244357968 scopus 로고    scopus 로고
    • Slice sampling for simulation based fitting of spatial data models
    • Agarwal, D. K., Gelfand, A. E.: Slice sampling for simulation based fitting of spatial data models. Stat. Comput. 15(1), 61-69 (2005).
    • (2005) Stat. Comput , vol.15 , Issue.1 , pp. 61-69
    • Agarwal, D.K.1    Gelfand, A.E.2
  • 7
    • 0043047984 scopus 로고    scopus 로고
    • On MCMC sampling in hierarchical longitudinal models
    • Chib, S., Carlin, B. P.: On MCMC sampling in hierarchical longitudinal models. Stat. Comput. 9(1), 17-26 (1999).
    • (1999) Stat. Comput , vol.9 , Issue.1 , pp. 17-26
    • Chib, S.1    Carlin, B.P.2
  • 8
    • 0003548569 scopus 로고
    • 2nd edn., Wiley Series in Probability and Statistics, New York: Wiley-Interscience
    • Cressie, N. A. C.: Statistics for Spatial Data, 2nd edn. Wiley Series in Probability and Statistics. Wiley-Interscience, New York (1993).
    • (1993) Statistics for Spatial Data
    • Cressie, N.A.C.1
  • 9
    • 62949190469 scopus 로고    scopus 로고
    • CUDA: Ver. 2. 2. 1. NVIDIA Corporation
    • CUDA: NVIDIA Compute Unified Device Architecture, Programming Guide Ver. 2. 2. 1. NVIDIA Corporation, http://developer. download. nvidia. com/compute/cuda/2_21/toolkit/docs/NVIDIA_CUDA_Programming_Guide_2. 2. 1. pdf (2009).
    • (2009) NVIDIA Compute Unified Device Architecture, Programming Guide
  • 10
    • 0033481108 scopus 로고    scopus 로고
    • Gibbs sampling for Bayesian non-conjugate and hierarchical models by using auxiliary variables
    • Damien, P., Wakefield, J., Walker, S.: Gibbs sampling for Bayesian non-conjugate and hierarchical models by using auxiliary variables. J. R. Stat. Soc. Ser. B (Stat. Method.) 61(2), 331-344 (1999).
    • (1999) J. R. Stat. Soc. Ser. B (Stat. Method.) , vol.61 , Issue.2 , pp. 331-344
    • Damien, P.1    Wakefield, J.2    Walker, S.3
  • 12
    • 84972511893 scopus 로고
    • Practical Markov chain Monte Carlo
    • Geyer, C. J.: Practical Markov chain Monte Carlo. Stat. Sci. 7(4), 473-483 (1992).
    • (1992) Stat. Sci , vol.7 , Issue.4 , pp. 473-483
    • Geyer, C.J.1
  • 13
    • 0002388372 scopus 로고    scopus 로고
    • Strategies for improving MCMC
    • W. R. Gilks, S. Richardson, and D. J. Spiegelhalter (Eds.), London: Chapman & Hall/CRC
    • Gilks, W. R., Roberts, G.: Strategies for improving MCMC. In: Gilks, W. R., Richardson, S., Spiegelhalter, D. J. (eds.) Markov Chain Monte Carlo in Practice, pp. 89-114. Chapman & Hall/CRC, London (1996).
    • (1996) Markov Chain Monte Carlo in Practice , pp. 89-114
    • Gilks, W.R.1    Roberts, G.2
  • 14
    • 0004236492 scopus 로고    scopus 로고
    • Johns Hopkins Studies in Mathematical Sciences, Baltimore: The Johns Hopkins University Press
    • Golub, G. H., van Loan, C. F.: Matrix Computations. Johns Hopkins Studies in Mathematical Sciences. The Johns Hopkins University Press, Baltimore (1996).
    • (1996) Matrix Computations
    • Golub, G.H.1    van Loan, C.F.2
  • 15
    • 70450171807 scopus 로고    scopus 로고
    • Accelerating genome-wide association studies using CUDA compatible graphics processing units
    • IJCBS '09. International Joint Conference on,(2009)
    • Jiang, R., Zeng, F., Zhang, W., Wu, X., Yu, Z.: Accelerating genome-wide association studies using CUDA compatible graphics processing units. In: Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on, pp. 70-76 (2009).
    • (2009) Bioinformatics, Systems Biology and Intelligent Computing , pp. 70-76
    • Jiang, R.1    Zeng, F.2    Zhang, W.3    Wu, X.4    Yu, Z.5
  • 16
    • 0032382838 scopus 로고    scopus 로고
    • Markov chain Monte Carlo in practice: A roundtable discussion
    • Kass, R. E., Carlin, B. P., Gelman, A., Neal, R. M.: Markov chain Monte Carlo in practice: A roundtable discussion. Am. Stat 52(2), 93-100 (1998).
    • (1998) Am. Stat , vol.52 , Issue.2 , pp. 93-100
    • Kass, R.E.1    Carlin, B.P.2    Gelman, A.3    Neal, R.M.4
  • 17
    • 34548381836 scopus 로고    scopus 로고
    • Fixed and random effects selection in linear and logistic models
    • Kinney, S. K., Dunson, D. B.: Fixed and random effects selection in linear and logistic models. Biometrics 63(9), 690-698 (2007).
    • (2007) Biometrics , vol.63 , Issue.9 , pp. 690-698
    • Kinney, S.K.1    Dunson, D.B.2
  • 19
    • 79958218204 scopus 로고    scopus 로고
    • On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods
    • Submitted for Publication July 2009
    • Lee, A., Yau, C., Giles, M. B., Doucet, A., Holmes, C. C.: (2009). On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods. Stat. Comput. Submitted for Publication July 2009.
    • (2009) Stat. Comput
    • Lee, A.1    Yau, C.2    Giles, M.B.3    Doucet, A.4    Holmes, C.C.5
  • 20
    • 19044373497 scopus 로고    scopus 로고
    • Polytomies and Bayesian phylogenetic inference
    • Lewis, P. O., Holder, M. T., Holsinger, K. E.: Polytomies and Bayesian phylogenetic inference. Syst. Biol. 54(2), 241-253 (2005).
    • (2005) Syst. Biol , vol.54 , Issue.2 , pp. 241-253
    • Lewis, P.O.1    Holder, M.T.2    Holsinger, K.E.3
  • 21
    • 0001789822 scopus 로고
    • Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
    • Liu, J. S., Wong, W. H., Kong, A.: Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes. Biometrika 81(1), 27-40 (1994).
    • (1994) Biometrika , vol.81 , Issue.1 , pp. 27-40
    • Liu, J.S.1    Wong, W.H.2    Kong, A.3
  • 23
    • 43349092363 scopus 로고    scopus 로고
    • CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment
    • Manavski, S., Valle, G.: CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment. BMC Bioinformatics 9(Suppl. 2), S10 (2008).
    • (2008) BMC Bioinformatics , vol.9 , Issue.2
    • Manavski, S.1    Valle, G.2
  • 24
    • 2442442128 scopus 로고    scopus 로고
    • Slice sampling: Discussion
    • Mira, A., Roberts, G. O.: [Slice sampling]: Discussion. Ann. Stat. 31(3), 748-753 (2003).
    • (2003) Ann. Stat , vol.31 , Issue.3 , pp. 748-753
    • Mira, A.1    Roberts, G.O.2
  • 25
    • 0036005408 scopus 로고    scopus 로고
    • Efficiency and convergence properties of slice samplers
    • (12)
    • Mira, A., Tierney, L.: Efficiency and convergence properties of slice samplers. Scand. J. Statist. 29, 1-12 (2002) (12).
    • (2002) Scand. J. Statist , vol.29 , pp. 1-12
    • Mira, A.1    Tierney, L.2
  • 28
    • 1642370803 scopus 로고    scopus 로고
    • Slice sampling
    • Neal, R. M.: Slice sampling. Ann. Stat. 31(3), 705-741 (2003a).
    • (2003) Ann. Stat , vol.31 , Issue.3 , pp. 705-741
    • Neal, R.M.1
  • 29
    • 2442483812 scopus 로고    scopus 로고
    • Slice sampling: Rejoinder
    • Neal, R. M.: [Slice sampling]: Rejoinder. Ann. Stat. 31(3), 758-767 (2003b).
    • (2003) Ann. Stat , vol.31 , Issue.3 , pp. 758-767
    • Neal, R.M.1
  • 30
    • 3042586796 scopus 로고    scopus 로고
    • Sampling schemes for Bayesian variable selection in generalized linear models
    • Nott, D. J., Leonte, D.: Sampling schemes for Bayesian variable selection in generalized linear models. J. Comput. Graph. Stat. 13(2), 362-382 (2004).
    • (2004) J. Comput. Graph. Stat , vol.13 , Issue.2 , pp. 362-382
    • Nott, D.J.1    Leonte, D.2
  • 32
    • 2442452575 scopus 로고    scopus 로고
    • The polar slice sampler
    • Roberts, G. O., Rosenthal, J. S.: The polar slice sampler. Stoch. Models 18(2), 257-280 (2002).
    • (2002) Stoch. Models , vol.18 , Issue.2 , pp. 257-280
    • Roberts, G.O.1    Rosenthal, J.S.2
  • 33
    • 0000051645 scopus 로고    scopus 로고
    • Updating schemes, correlation structure, blocking and parameterization for the Gibbs sampler
    • Roberts, G. O., Sahu, S. K.: Updating schemes, correlation structure, blocking and parameterization for the Gibbs sampler. J. R. Stat. Soc. Ser. B (Method.) 59(2), 291-317 (1997).
    • (1997) J. R. Stat. Soc. Ser. B (Method.) , vol.59 , Issue.2 , pp. 291-317
    • Roberts, G.O.1    Sahu, S.K.2
  • 34
    • 0004326266 scopus 로고    scopus 로고
    • Parallel computing and Monte Carlo algorithms
    • Rosenthal, J. S.: Parallel computing and Monte Carlo algorithms. Far East J. Theoret. Stat. 4, 207-236 (2000).
    • (2000) Far East J. Theoret. Stat , vol.4 , pp. 207-236
    • Rosenthal, J.S.1
  • 35
    • 33750304849 scopus 로고    scopus 로고
    • Gene function classification using Bayesian models with hierarchy-based priors
    • Shahbaba, B., Neal, R.: Gene function classification using Bayesian models with hierarchy-based priors. BMC Bioinformatics 7(1), 448 (2006).
    • (2006) BMC Bioinformatics , vol.7 , Issue.1 , pp. 448
    • Shahbaba, B.1    Neal, R.2
  • 36
    • 69449099445 scopus 로고    scopus 로고
    • Accelerating epistasis analysis in human genetics with consumer graphics hardware
    • Sinnott-Armstrong, N., Greene, C., Cancare, F., Moore, J.: Accelerating epistasis analysis in human genetics with consumer graphics hardware. BMC Res. Notes 2(1), 149 (2009).
    • (2009) BMC Res. Notes , vol.2 , Issue.1 , pp. 149
    • Sinnott-Armstrong, N.1    Greene, C.2    Cancare, F.3    Moore, J.4
  • 37
    • 65649118549 scopus 로고    scopus 로고
    • Many-core algorithms for statistical phylogenetics
    • Suchard, M. A., Rambaut, A.: Many-core algorithms for statistical phylogenetics. Bioinformatics 25(11), 1370-1376 (2009).
    • (2009) Bioinformatics , vol.25 , Issue.11 , pp. 1370-1376
    • Suchard, M.A.1    Rambaut, A.2
  • 38
    • 38049022529 scopus 로고    scopus 로고
    • Haplotype inference using a Bayesian Hidden Markov model
    • Sun, S., Greenwood, C. M., Neal, R. M.: Haplotype inference using a Bayesian Hidden Markov model. Genet. Epidemiol. 31(8), 937-948 (2007).
    • (2007) Genet. Epidemiol , vol.31 , Issue.8 , pp. 937-948
    • Sun, S.1    Greenwood, C.M.2    Neal, R.M.3
  • 39
    • 3843084997 scopus 로고    scopus 로고
    • Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models
    • Whiley, M., Wilson, S. P.: Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models. Stat. Comput. 14(3), 171-179 (2004).
    • (2004) Stat. Comput , vol.14 , Issue.3 , pp. 171-179
    • Whiley, M.1    Wilson, S.P.2
  • 40
    • 85026233840 scopus 로고    scopus 로고
    • Parallel Bayesian computation
    • J. E. Kontoghiorghes (Ed.), New York: Marcel Dekker/CRC Press
    • Wilkinson, D. J.: Parallel Bayesian computation. In: Kontoghiorghes, J. E. (ed.) Handbook of Parallel Computing and Statistics, pp. 481-512. Marcel Dekker/CRC Press, New York (2005).
    • (2005) Handbook of Parallel Computing and Statistics , pp. 481-512
    • Wilkinson, D.J.1
  • 41
    • 34548569027 scopus 로고    scopus 로고
    • Parallelizing MCMC for Bayesian spatiotemporal geostatistical models
    • Yan, J., Cowles, M. K., Wang, S., Armstrong, M. P.: Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. Stat. Comput. 17(4), 323-335 (2007).
    • (2007) Stat. Comput , vol.17 , Issue.4 , pp. 323-335
    • Yan, J.1    Cowles, M.K.2    Wang, S.3    Armstrong, M.P.4


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