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Volumn , Issue , 2002, Pages

Rao-blackwellised particle filtering via data augmentation

Author keywords

[No Author keywords available]

Indexed keywords

IMPORTANCE SAMPLING; MONTE CARLO METHODS;

EID: 84898966727     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (14)
  • 1
    • 84916537550 scopus 로고
    • Bayesian analysis of binary and polychotomous response data
    • Albert, J. and Chib, S. (1993). Bayesian analysis of binary and polychotomous response data, Journal of the American Statistical Association 88(422): 669-679.
    • (1993) Journal of the American Statistical Association , vol.88 , Issue.422 , pp. 669-679
    • Albert, J.1    Chib, S.2
  • 2
    • 0345820519 scopus 로고    scopus 로고
    • Sequential bayesian estimation and model selection applied to neural networks
    • Cambridge University Engineering Department
    • Andrieu, C., de Freitas, N. and Doucet, A. (1999). Sequential Bayesian estimation and model selection applied to neural networks, Technical Report, CUED/F-INFENG/TR 341, Cambridge University Engineering Department.
    • (1999) Technical Report, CUED/F-INFENG/TR 341
    • Andrieu, C.1    De Freitas, N.2    Doucet, A.3
  • 3
    • 0003924729 scopus 로고    scopus 로고
    • Convergence of sequential Monte Carlo methods
    • Cambridge University Engineering Department
    • Crisan, D. and Doucet, A. (2000). Convergence of sequential Monte Carlo methods, Technical Report CUED/F-INFENG/TR 381, Cambridge University Engineering Department.
    • (2000) Technical Report CUED/F-INFENG/TR 381
    • Crisan, D.1    Doucet, A.2
  • 5
    • 0002165558 scopus 로고    scopus 로고
    • Rao blackwellised particle filtering for dynamic bayesian networks
    • C. Boutilier and M. Godszmidt (eds), Morgan Kaufmann Publishers
    • Doucet, A., de Preitas, N., Murphy, K. and Russell, S. (2000). Rao blackwellised particle filtering for dynamic Bayesian networks, in C. Boutilier and M. Godszmidt (eds), Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers, pp. 176-183.
    • (2000) Uncertainty in Artificial Intelligence , pp. 176-183
    • Doucet, A.1    De Preitas, N.2    Murphy, K.3    Russell, S.4
  • 6
    • 0001460136 scopus 로고    scopus 로고
    • On sequential monte carlo sampling methods for bayesian filtering
    • Doucet, A., Godsill, S. and Andrieu, C. (2000). On sequential Monte Carlo sampling methods for Bayesian filtering, Statistics and Computing 10(3): 197-208.
    • (2000) Statistics and Computing , vol.10 , Issue.3 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 8
    • 0000840529 scopus 로고    scopus 로고
    • Bayesian radial basis functions of variable dimension
    • Holmes, C. C. and Mallick, B. K. (1998). Bayesian radial basis functions of variable dimension, Neural Computation 10(5): 1217-1233.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1217-1233
    • Holmes, C.C.1    Mallick, B.K.2
  • 9
    • 84957604139 scopus 로고    scopus 로고
    • Contour tracking by stochastic propagation of conditional density
    • Cambridge, UK
    • Isard, M. and Blake, A. (1996). Contour tracking by stochastic propagation of conditional density, European Conference on Computer Vision, Cambridge, UK, pp. 343 356.
    • (1996) European Conference on Computer Vision , pp. 343-356
    • Isard, M.1    Blake, A.2
  • 11
    • 0000883977 scopus 로고
    • A method of simulated momemts for estimation of discrete response models without numerical integration
    • McFadden, D. (1989). A method of simulated momemts for estimation of discrete response models without numerical integration, Econometrica 57: 995-1026.
    • (1989) Econometrica , vol.57 , pp. 995-1026
    • McFadden, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.