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Volumn , Issue , 2010, Pages

Slice sampling covariance hyperparameters of latent Gaussian models

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); MARKOV PROCESSES;

EID: 85162070336     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (165)

References (19)
  • 1
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    • (2010) Journal of Machine Learning Research: W&CP , vol.9 , pp. 541-548
    • Murray, I.1    Adams, R.P.2    MacKay, D.J.C.3
  • 2
    • 1642370803 scopus 로고    scopus 로고
    • Slice sampling
    • Radford M. Neal. Slice sampling. Annals of Statistics, 31(3):705-767, 2003.
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    • Neal, R.M.1
  • 3
    • 15244357968 scopus 로고    scopus 로고
    • Slice sampling for simulation based fitting of spatial data models
    • Deepak K. Agarwal and Alan 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
  • 5
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions
    • Luke 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
  • 6
    • 83855162680 scopus 로고    scopus 로고
    • Efficient sampling for Gaussian process inference using control variables
    • MIT Press
    • Michalis Titsias, Neil D Lawrence, and Magnus Rattray. Efficient sampling for Gaussian process inference using control variables. In Advances in Neural Information Processing Systems 21, pages 1681-1688. MIT Press, 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.21 , pp. 1681-1688
    • Titsias, M.1    Lawrence, N.D.2    Rattray, M.3
  • 8
    • 85057196821 scopus 로고    scopus 로고
    • MCMC using Hamiltonian dynamics
    • To appear in the, Chapman & Hall / CRC Press
    • Radford M. Neal. MCMC using Hamiltonian dynamics. To appear in the Handbook of Markov Chain Monte Carlo, Chapman & Hall / CRC Press, 2011. http://www.cs.toronto.edu/~radford/ftp/ham-mcmc.pdf.
    • (2011) Handbook of Markov Chain Monte Carlo
    • Neal, R.M.1
  • 14
    • 0002628667 scopus 로고    scopus 로고
    • Regression and classification using Gaussian process priors
    • J. M. Bernardo et al., editors. OU Press
    • Radford 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
  • 15
    • 25444528713 scopus 로고    scopus 로고
    • Assessing approximate inference for binary Gaussian process classification
    • Malte Kuss and Carl Edward 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
  • 17
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.