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Volumn 9, Issue , 2010, Pages 541-548

Elliptical slice sampling

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX ALGORITHMS; FREE PARAMETERS; GAUSSIAN PROCESSES; GAUSSIANS; GENERIC CODES; MARKOV CHAIN MONTE CARLO ALGORITHMS; MULTIVARIATE GAUSSIAN DISTRIBUTIONS; PROBABILISTIC MODELS;

EID: 84862298375     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (307)

References (14)
  • 1
    • 15244357968 scopus 로고    scopus 로고
    • Slice sampling for simulation based fitting of spatial data models
    • D. K. Agarwal and A. E. Gelfand. Slice sampling for simulation based fitting of spatial data models. Statistics and Computing, 15(1):61-69, 2005.
    • (2005) Statistics and Computing , vol.15 , Issue.1 , pp. 61-69
    • Agarwal, D.K.1    Gelfand, A.E.2
  • 4
    • 0018342609 scopus 로고
    • A note on the intervals between coal-mining disasters
    • R. G. Jarrett. A note on the intervals between coal-mining disasters. Biometrika, 66(1):191-193, 1979.
    • (1979) Biometrika , vol.66 , Issue.1 , pp. 191-193
    • Jarrett, R.G.1
  • 5
    • 25444528713 scopus 로고    scopus 로고
    • Assessing approximate inference for binary Gaussian process classification
    • M. Kuss and C. E. Rasmussen. Assessing approximate inference for binary Gaussian process classification. Journal of Machine Learning Research, 6:1679-1704, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1679-1704
    • Kuss, M.1    Rasmussen, C.E.2
  • 7
    • 0004087397 scopus 로고
    • Probabilistic inference using markov chain monte carlo methods
    • University of Toronto
    • R. M. Neal. Probabilistic inference using Markov chain Monte Carlo methods. Technical Report CRG-TR-93-1, Dept. of Computer Science, University of Toronto, 1993.
    • (1993) Technical Report CRG-TR-93-1 Dept. of Computer Science
    • Neal, R.M.1
  • 8
    • 0002628667 scopus 로고    scopus 로고
    • Regression and classification using Gaussian process priors
    • J. M. Bernardo et al., editors, OU Press
    • R. M. Neal. Regression and classification using Gaussian process priors. In J. M. Bernardo et al., editors, Bayesian Statistics 6, pages 475-501. OU Press, 1999.
    • (1999) Bayesian Statistics , vol.6 , pp. 475-501
    • Neal, R.M.1
  • 9
    • 1642370803 scopus 로고    scopus 로고
    • Slice sampling
    • R. M. Neal. Slice sampling. Annals of Statistics, 31(3): 705-767, 2003.
    • (2003) Annals of Statistics , vol.31 , Issue.3 , pp. 705-767
    • Neal, R.M.1
  • 11
    • 62849120031 scopus 로고    scopus 로고
    • Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
    • H. Rue, S. Martino, and N. Chopin. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society: Series B, 71(2):319-392, 2009.
    • (2009) Journal of the Royal Statistical Society: Series B , vol.71 , Issue.2 , pp. 319-392
    • Rue, H.1    Martino, S.2    Chopin, N.3
  • 12
    • 84862269954 scopus 로고    scopus 로고
    • Slice sampling - A binary implementation
    • J. Skilling and D. J. C. MacKay. Slice sampling - a binary implementation. Annals of Statistics, 31(3), 2003.
    • (2003) Annals of Statistics , Issue.31 , pp. 3
    • Skilling, J.1    MacKay, D.J.C.2
  • 13
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions
    • L. Tierney. Markov chains for exploring posterior distributions. The Annals of Statistics, 22(4):1701-1728, 1994.
    • (1994) The Annals of Statistics , vol.22 , Issue.4 , pp. 1701-1728
    • Tierney, L.1


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