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Volumn 66, Issue 3, 2014, Pages 443-471

Computational aspects of sequential Monte Carlo filter and smoother

Author keywords

Gaussian sum filter; Nonlinear non Gaussian state space model; Parallel computation; Particle filter; Posterior mean smoother; Two filter formula

Indexed keywords

BAYESIAN NETWORKS; GAUSSIAN NOISE (ELECTRONIC); INFERENCE ENGINES; INFORMATION TECHNOLOGY; STOCHASTIC SYSTEMS;

EID: 84903276075     PISSN: 00203157     EISSN: 15729052     Source Type: Journal    
DOI: 10.1007/s10463-014-0446-0     Document Type: Conference Paper
Times cited : (20)

References (27)
  • 1
    • 0015385037 scopus 로고
    • Nonlinear Bayesian estimation using gaussian sum approximations
    • Alspach, D. L., Sorenson, H. W. (1972). Nonlinear Bayesian estimation using gaussian sum approximations. IEEE Transactions on Automatic Control, AC-17, 439-448.
    • (1972) IEEE Transactions on Automatic Control , vol.AC-17 , pp. 439-448
    • Alspach, D.L.1    Sorenson, H.W.2
  • 4
    • 77951131231 scopus 로고    scopus 로고
    • A tutorial on particle filtering and smoothing: Fifteen years later
    • D. Crisan, B. Rozovsky (Eds.) Oxford: Oxford University Press
    • Doucet, A., Johansen, A. M. (2011). A tutorial on particle filtering and smoothing: fifteen years later. In D. Crisan, B. Rozovsky (Eds.), Oxford Handbook of Nonlinear Filtering. Oxford: Oxford University Press.
    • (2011) Oxford Handbook of Nonlinear Filtering
    • Doucet, A.1    Johansen, A.M.2
  • 5
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo ampling methods for Bayesian filtering
    • Doucet, A., Godsill, S., Andrieu, C. (2000). On sequential Monte Carlo ampling methods for Bayesian filtering. Statistics and Computing, 10, 197-208.
    • (2000) Statistics and Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 7
    • 77952840924 scopus 로고    scopus 로고
    • A sequential smoothing algorithm with linear computational cost
    • Fearnhead, P., Wyncoll, D., Tawn, J. (2010). A sequential smoothing algorithm with linear computational cost. Biometrika, 97, 447-464.
    • (2010) Biometrika , vol.97 , pp. 447-464
    • Fearnhead, P.1    Wyncoll, D.2    Tawn, J.3
  • 8
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N. J., Salmond, D. J., Smith, A. F. M. (1993). Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proceedings-F, 140, 107-113.
    • (1993) IEE Proceedings-F , vol.140 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 11
    • 84950459387 scopus 로고
    • Non-Gaussian state space modeling of nonstationary time series
    • 922169
    • Kitagawa, G. (1987). Non-Gaussian state space modeling of nonstationary time series. Journal of American Statistical Association, 76(400), 1032-1064.
    • (1987) Journal of American Statistical Association , vol.76 , Issue.400 , pp. 1032-1064
    • Kitagawa, G.1
  • 12
    • 84903269028 scopus 로고
    • Numerical Approach to Non-Gaussian Smoothing and its Applications, Computing Science and Statistics;
    • eds. E.J. Wegman, D.T. Gantz, J.J. Miller
    • Kitagawa, G. (1988). Numerical Approach to Non-Gaussian Smoothing and its Applications, Computing Science and Statistics; Proceedings of the 20th Symposium on the Interface, eds. E.J. Wegman, D.T. Gantz, J.J. Miller, 379-388.
    • (1988) Proceedings of the 20th Symposium on the Interface , pp. 379-388
    • Kitagawa, G.1
  • 15
    • 0001361993 scopus 로고
    • The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother
    • 10.1007/BF00773470 0822.62080 1325984
    • Kitagawa, G. (1994). The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother. Annals of the Institute of Statistical Mathematics, 46(4), 605-623.
    • (1994) Annals of the Institute of Statistical Mathematics , vol.46 , Issue.4 , pp. 605-623
    • Kitagawa, G.1
  • 16
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space model
    • 1380850
    • Kitagawa, G. (1996). Monte Carlo filter and smoother for non-Gaussian nonlinear state space model. Journal of Computational and Graphical Statistics, 5, 1-25.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 18
    • 84950428388 scopus 로고
    • A smoothness priors-state space approach to the modeling of time series with trend and seasonality
    • Kitagawa, G., Gersch, W. (1984). A smoothness priors-state space approach to the modeling of time series with trend and seasonality. Journal of the American Statistical Association, 79(386), 378-389.
    • (1984) Journal of the American Statistical Association , vol.79 , Issue.386 , pp. 378-389
    • Kitagawa, G.1    Gersch, W.2
  • 21
    • 0031599142 scopus 로고    scopus 로고
    • Mersenne twister: A 623-dimensionally equidistributed uniform pseudorandom number generator
    • Matsumoto, M., Nishimura, T. (1998). Mersenne twister: a 623-dimensionally equidistributed uniform pseudorandom number generator. ACM Transactions on Modeling and Computer Simulation, 8, 3-30.
    • (1998) ACM Transactions on Modeling and Computer Simulation , vol.8 , pp. 3-30
    • Matsumoto, M.1    Nishimura, T.2
  • 22
  • 24
    • 0003909567 scopus 로고
    • Estimation theory with applications to communications and control
    • New York: McGraw-Hill
    • Sage, A. P., Mersa, J. L. (1971). Estimation Theory with Applications to Communications and Control, McGraw-Hill Series in System Science. New York: McGraw-Hill.
    • (1971) McGraw-Hill Series in System Science
    • Sage, A.P.1    Mersa, J.L.2
  • 25
    • 0020116318 scopus 로고
    • Smoothing estimation of stochastic process: Two-filter formulas
    • Solo, V. (1982). Smoothing estimation of stochastic process: Two-filter formulas. IEEE Transactions on Automatic Control, 27(2), 473-476.
    • (1982) IEEE Transactions on Automatic Control , vol.27 , Issue.2 , pp. 473-476
    • Solo, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.