메뉴 건너뛰기




Volumn 15, Issue 1, 2005, Pages 61-69

Slice sampling for simulation based fitting of spatial data models

Author keywords

Auxiliary variables; Bayesian modeling; Exponential and Mat rn covariance functions; Stationary Gaussian process

Indexed keywords


EID: 15244357968     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-005-4790-z     Document Type: Article
Times cited : (30)

References (28)
  • 6
    • 0043047984 scopus 로고    scopus 로고
    • On MCMC sampling in hierarchical longitudinal models
    • Chib S. and Carlin B. 1999. On MCMC sampling in hierarchical longitudinal models. Statistics and Computing 9: 17-26.
    • (1999) Statistics and Computing , vol.9 , pp. 17-26
    • Chib, S.1    Carlin, B.2
  • 7
    • 32344446687 scopus 로고
    • Understanding the Metropolis-Hastings algorithm
    • Chib S. and Greenberg E. 1995. Understanding the Metropolis-Hastings algorithm. American Statistician 49: 327-335.
    • (1995) American Statistician , vol.49 , pp. 327-335
    • Chib, S.1    Greenberg, E.2
  • 8
    • 0000911137 scopus 로고    scopus 로고
    • Analysis of multivariate probit models
    • Chib S. and Greenberg E. 1998. Analysis of multivariate probit models. Biometrika 85: 347-361.
    • (1998) Biometrika , vol.85 , pp. 347-361
    • Chib, S.1    Greenberg, E.2
  • 10
    • 0035989805 scopus 로고    scopus 로고
    • Bayesian prediction of spatial count data using generalized linear mixed models
    • Christensen O.F. and Waagepetersen R.P. 2002. Bayesian prediction of spatial count data using generalized linear mixed models. Biometrics 58: 280-286.
    • (2002) Biometrics , vol.58 , pp. 280-286
    • Christensen, O.F.1    Waagepetersen, R.P.2
  • 12
    • 0033481108 scopus 로고    scopus 로고
    • Gibbs sampling for Bayesian nonconjugate and hierarchical models using auxiliary variables
    • Damien P., Wakefield J., and Walker S. 1999. Gibbs sampling for Bayesian nonconjugate and hierarchical models using auxiliary variables. Journal of the Royal Statistical Society, Series B 61: 331-344.
    • (1999) Journal of the Royal Statistical Society, Series B , vol.61 , pp. 331-344
    • Damien, P.1    Wakefield, J.2    Walker, S.3
  • 14
    • 0032969075 scopus 로고    scopus 로고
    • Bayesian modeling and inference for geometrically anisotropic spatial data
    • Ecker M.D. and Gelfand A.E. 1998. Bayesian modeling and inference for geometrically anisotropic spatial data. Mathematical Geology 31: 67-83.
    • (1998) Mathematical Geology , vol.31 , pp. 67-83
    • Ecker, M.D.1    Gelfand, A.E.2
  • 15
    • 0007633083 scopus 로고
    • Geostatistical estimates of scallop abundance
    • Lange N., Ryan L., Brillinger D., Conquest L., and Greenhouse J. (Eds.), Wiley, New York
    • Ecker M.D. and Heltshe J.F. 1994. Geostatistical estimates of scallop abundance. In: Lange N., Ryan L., Brillinger D., Conquest L., and Greenhouse J. (Eds.), Case Studies in Biometry, Wiley, New York, pp. 107-124.
    • (1994) Case Studies in Biometry , pp. 107-124
    • Ecker, M.D.1    Heltshe, J.F.2
  • 17
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman A. and Rubin D.B. 1992. Inference 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
  • 19
    • 0001196683 scopus 로고
    • Maximum likelihood estimation of models for residual covariance in spatial regression
    • Mardia K.V. and Marshall R.J. 1984. Maximum likelihood estimation of models for residual covariance in spatial regression. Biometrika 71: 135-146.
    • (1984) Biometrika , vol.71 , pp. 135-146
    • Mardia, K.V.1    Marshall, R.J.2
  • 20
    • 1642370803 scopus 로고    scopus 로고
    • Slice sampling
    • Neal R. 2003. Slice sampling. Annals of Statistics 31: 705-767.
    • (2003) Annals of Statistics , vol.31 , pp. 705-767
    • Neal, R.1
  • 21
    • 0002628667 scopus 로고    scopus 로고
    • Regression and classification using Gaussian process priors
    • with discussion. Bernardo J.M. et al. (Eds.), Oxford University Press
    • Neal R. 1998. Regression and classification using Gaussian process priors (with discussion). In: Bernardo J.M. et al. (Eds.), Bayesian Statistics 6, Oxford University Press, pp. 475-501.
    • (1998) Bayesian Statistics , vol.6 , pp. 475-501
    • Neal, R.1
  • 25
    • 0033438006 scopus 로고    scopus 로고
    • Predicting random fields with increasingly dense observations
    • Stein M.L. 1999a. Predicting random fields with increasingly dense observations. Annals of Applied Probability 9: 242-273.
    • (1999) Annals of Applied Probability , vol.9 , pp. 242-273
    • Stein, M.L.1
  • 27
    • 84950758368 scopus 로고
    • The calculation of posterior distributions by data augmentation
    • with discussion
    • Tanner M.A. and Wong W.H. 1987. The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association 82: 528-550.
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 528-550
    • Tanner, M.A.1    Wong, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.