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Volumn , Issue , 2008, Pages 88-95

Sparse Bayesian nonparametric regression

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; STOCHASTIC SYSTEMS; LEARNING SYSTEMS;

EID: 56549090277     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390168     Document Type: Conference Paper
Times cited : (78)

References (18)
  • 2
    • 0031524138 scopus 로고    scopus 로고
    • Normal inverse Gaussian distributions and stochastic volatility modelling
    • Barndorff-Nielsen, O. (1997). Normal inverse Gaussian distributions and stochastic volatility modelling. Scandinavian Journal of Statistics, 24, 1-13.
    • (1997) Scandinavian Journal of Statistics , vol.24 , pp. 1-13
    • Barndorff-Nielsen, O.1
  • 3
    • 0035273106 scopus 로고    scopus 로고
    • Atomic decomposition by basis pursuit
    • Chen, S., Donoho, D., & Saunders, M. (2001). Atomic decomposition by basis pursuit. SIAM review, 43, 129-159.
    • (2001) SIAM review , vol.43 , pp. 129-159
    • Chen, S.1    Donoho, D.2    Saunders, M.3
  • 4
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • Fan, J., & Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association, 96, 1348-1360.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 7
    • 0038132749 scopus 로고    scopus 로고
    • A variational method for learning sparse and overcomplete representations
    • Girolami, M. (2001). A variational method for learning sparse and overcomplete representations. Neural computation, 13, 2517-2532.
    • (2001) Neural computation , vol.13 , pp. 2517-2532
    • Girolami, M.1
  • 8
    • 48249133172 scopus 로고    scopus 로고
    • Bayesian adaptive lasso with non-convex penalization
    • Dept of Statistics, University of Warwick
    • Griffin, J., & Brown, P. (2007). Bayesian adaptive lasso with non-convex penalization (Technical Report). Dept of Statistics, University of Warwick.
    • (2007) Technical Report
    • Griffin, J.1    Brown, P.2
  • 9
    • 0034133184 scopus 로고    scopus 로고
    • Learning over-complete representations
    • Lewicki, M. S., & Sejnowski, T. (2000). Learning over-complete representations. Neural computation, 12, 337-365.
    • (2000) Neural computation , vol.12 , pp. 337-365
    • Lewicki, M.S.1    Sejnowski, T.2
  • 10
    • 0000903441 scopus 로고
    • The variance-gamma model for share market returns
    • Madan, D., & Seneta, E. (1990). The variance-gamma model for share market returns. Journal of Business, 63, 511-524.
    • (1990) Journal of Business , vol.63 , pp. 511-524
    • Madan, D.1    Seneta, E.2
  • 11
    • 33947270567 scopus 로고    scopus 로고
    • Bayesian blind separation of generalized hyperbolic processes in noisy and underdeterminate mixtures
    • Snoussi, H., & Idier, J. (2006). Bayesian blind separation of generalized hyperbolic processes in noisy and underdeterminate mixtures. IEEE Transactions on Signal Processing, 54, 3257-3269.
    • (2006) IEEE Transactions on Signal Processing , vol.54 , pp. 3257-3269
    • Snoussi, H.1    Idier, J.2
  • 15
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping, M. (2001). Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 211-244, 211-244.
    • (2001) Journal of Machine Learning Research , vol.211-244 , pp. 211-244
    • Tipping, M.1
  • 18
    • 0242295767 scopus 로고    scopus 로고
    • Bayesian factor regression models in the "Large p, Small n" paradigm
    • J. Bernardo, M. Bayarri, J. Berger, A. Dawid, D. Heckerman, A. Smith and M. West Eds, Oxford University Press
    • West, M. (2003). Bayesian factor regression models in the "Large p, Small n" paradigm. In J. Bernardo, M. Bayarri, J. Berger, A. Dawid, D. Heckerman, A. Smith and M. West (Eds.), Bayesian statistics 7, 723-732. Oxford University Press.
    • (2003) Bayesian statistics 7 , pp. 723-732
    • West, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.