메뉴 건너뛰기




Volumn 23, Issue 6, 2013, Pages 759-775

Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A non asymptotic analysis

Author keywords

Auxiliary particle filtering; Non asymptotic analysis; Particle filtering; Resampling; Sequential importance sampling; Sequential Monte Carlo

Indexed keywords


EID: 84883806596     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-012-9345-5     Document Type: Article
Times cited : (10)

References (28)
  • 1
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • Arulampalam, M. S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174-188 (2002).
    • (2002) IEEE Trans. Signal Process. , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 3
    • 57849133035 scopus 로고    scopus 로고
    • Adaptive methods for sequential importance sampling with application to state-space models
    • Cornebise, J., Moulines, É., Olsson, J.: Adaptive methods for sequential importance sampling with application to state-space models. Stat. Comput. 18(4), 461-480 (2008).
    • (2008) Stat. Comput. , vol.18 , Issue.4 , pp. 461-480
    • Cornebise, J.1    Moulines, É.2    Olsson, J.3
  • 4
    • 0036504051 scopus 로고    scopus 로고
    • A survey of convergence results on particle filtering methods for practitioners
    • Crisan, D., Doucet, A.: A survey of convergence results on particle filtering methods for practitioners. IEEE Trans. Signal Process. 50(3), 736-746 (2002).
    • (2002) IEEE Trans. Signal Process. , vol.50 , Issue.3 , pp. 736-746
    • Crisan, D.1    Doucet, A.2
  • 6
    • 80051634791 scopus 로고    scopus 로고
    • Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a matter of conditional independence
    • Prague, Czech Republic
    • Desbouvries, F., Petetin, Y., Monfrini, E.: Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a matter of conditional independence. In: Proc. IEEE ICASSP, Prague, Czech Republic (2011).
    • (2011) Proc. IEEE ICASSP
    • Desbouvries, F.1    Petetin, Y.2    Monfrini, E.3
  • 7
    • 33746863594 scopus 로고    scopus 로고
    • Comparison of resampling schemes for particle filtering
    • Zagreb, Croatia
    • Douc, R., Cappé, O., Moulines, É.: Comparison of resampling schemes for particle filtering. In: Proc. of the 4th ISPA, Zagreb, Croatia (2005).
    • (2005) Proc. Of the 4th ISPA
    • Douc, R.1    Cappé, O.2    Moulines, É.3
  • 8
    • 78650790756 scopus 로고    scopus 로고
    • Optimality of the auxiliary particle filter
    • Douc, R., Moulines, É., Olsson, J.: Optimality of the auxiliary particle filter. Probab. Math. Stat. 29(1), 1-28 (2009).
    • (2009) Probab. Math. Stat. , vol.29 , Issue.1 , pp. 1-28
    • Douc, R.1    Moulines, É.2    Olsson, J.3
  • 9
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Doucet, A., Godsill, S. J., Andrieu, C.: On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput. 10, 197-208 (2000).
    • (2000) Stat. Comput. , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.J.2    Andrieu, C.3
  • 11
    • 0035266886 scopus 로고    scopus 로고
    • Particle filters for state estimation of jump Markov linear systems
    • Doucet, A., Gordon, N. J., Krishnamurthy, V.: Particle filters for state estimation of jump Markov linear systems. IEEE Trans. Signal Process. 49(3), 613-624 (2001b).
    • (2001) IEEE Trans. Signal Process. , vol.49 , Issue.3 , pp. 613-624
    • Doucet, A.1    Gordon, N.J.2    Krishnamurthy, V.3
  • 12
    • 41549102613 scopus 로고    scopus 로고
    • Computational methods for complex stochastic systems: a review of some alternatives to MCMC
    • Fearnhead, P.: Computational methods for complex stochastic systems: a review of some alternatives to MCMC. Stat. Comput. 18(2), 151-171 (2008).
    • (2008) Stat. Comput. , vol.18 , Issue.2 , pp. 151-171
    • Fearnhead, P.1
  • 13
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N. J., Salmond, D. J., Smith, A. F. M.: Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proc. F 140(2), 107-113 (1993).
    • (1993) IEE Proc. F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 14
    • 48049091162 scopus 로고    scopus 로고
    • On resampling algorithms for particle filtering
    • Cambridge, UK
    • Hol, J. D., Schön, T. B., Gustafsson, F.: On resampling algorithms for particle filtering. In: Proc. IEEE NSSPW, Cambridge, UK (2006).
    • (2006) Proc. IEEE NSSPW
    • Hol, J.D.1    Schön, T.B.2    Gustafsson, F.3
  • 15
    • 49349086599 scopus 로고    scopus 로고
    • A note on the auxiliary particle filter
    • Johansen, A. M., Doucet, A.: A note on the auxiliary particle filter. Stat. Probab. Lett. 78(12), 1498-1504 (2008).
    • (2008) Stat. Probab. Lett. , vol.78 , Issue.12 , pp. 1498-1504
    • Johansen, A.M.1    Doucet, A.2
  • 16
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • Kitagawa, G.: Monte Carlo filter and smoother for non-Gaussian nonlinear state space models. J. Comput. Graph. Stat. 5(1), 1-25 (1996).
    • (1996) J. Comput. Graph. Stat. , vol.5 , Issue.1 , pp. 1-25
    • Kitagawa, G.1
  • 17
    • 84950943564 scopus 로고
    • Sequential imputations and bayesian missing data problems
    • Kong, A., Liu, J. S., Wong, W. H.: Sequential imputations and bayesian missing data problems. J. Am. Stat. Assoc. 89(425), 278-288 (1994).
    • (1994) J. Am. Stat. Assoc. , vol.89 , Issue.425 , pp. 278-288
    • Kong, A.1    Liu, J.S.2    Wong, W.H.3
  • 18
    • 0001387339 scopus 로고    scopus 로고
    • State space and hidden Markov models
    • Monographs on Statistics and Applied Probability, O. E. Barndorff-Nielsen, D. R. Cox, C. Klüppelberg (Eds.), New York: Chapman and Hall/CRC
    • Künsch, H. R.: State space and hidden Markov models. In: Barndorff-Nielsen, O. E., Cox, D. R., Klüppelberg, C. (eds.) Complex Stochastic Systems. Monographs on Statistics and Applied Probability, vol. 87, pp. 109-173. Chapman and Hall/CRC, New York (2001).
    • (2001) Complex Stochastic Systems , vol.87 , pp. 109-173
    • Künsch, H.R.1
  • 19
    • 30344486983 scopus 로고    scopus 로고
    • Recursive Monte Carlo filters: algorithms and theoretical analysis
    • Künsch, H.: Recursive Monte Carlo filters: algorithms and theoretical analysis. Ann. Stat. 33(5), 1983-2021 (2005).
    • (2005) Ann. Stat. , vol.33 , Issue.5 , pp. 1983-2021
    • Künsch, H.1
  • 20
    • 21344458535 scopus 로고    scopus 로고
    • Metropolized independent sampling with comparisons to rejection sampling and importance sampling
    • Liu, J. S.: Metropolized independent sampling with comparisons to rejection sampling and importance sampling. Stat. Comput. 6, 113-119 (1996).
    • (1996) Stat. Comput. , vol.6 , pp. 113-119
    • Liu, J.S.1
  • 21
    • 84950943371 scopus 로고
    • Blind deconvolution via sequential imputation
    • Liu, J. S., Chen, R.: Blind deconvolution via sequential imputation. J. Am. Stat. Assoc. 90(430), 567-576 (1995).
    • (1995) J. Am. Stat. Assoc. , vol.90 , Issue.430 , pp. 567-576
    • Liu, J.S.1    Chen, R.2
  • 22
    • 0032359151 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for dynamic systems
    • Liu, J. S., Chen, R.: Sequential Monte Carlo methods for dynamic systems. J. Am. Stat. Assoc. 93(443), 1032-1044 (1998).
    • (1998) J. Am. Stat. Assoc. , vol.93 , Issue.443 , pp. 1032-1044
    • Liu, J.S.1    Chen, R.2
  • 23
    • 1542427941 scopus 로고    scopus 로고
    • Filtering via simulation: auxiliary particle filter
    • Pitt, M. K., Shephard, N.: Filtering via simulation: auxiliary particle filter. J. Am. Stat. Assoc. 94(446), 550-599 (1999).
    • (1999) J. Am. Stat. Assoc. , vol.94 , Issue.446 , pp. 550-599
    • Pitt, M.K.1    Shephard, N.2
  • 25
    • 59849102627 scopus 로고    scopus 로고
    • Gaussian proposal density using moment matching in SMC methods
    • Saha, S., Manda, P. K., Boers, Y., Driessen, H., Bagchi, A.: Gaussian proposal density using moment matching in SMC methods. Stat. Comput. 19(2), 203-208 (2009).
    • (2009) Stat. Comput. , vol.19 , Issue.2 , pp. 203-208
    • Saha, S.1    Manda, P.K.2    Boers, Y.3    Driessen, H.4    Bagchi, A.5
  • 27
    • 80051618265 scopus 로고    scopus 로고
    • Recent developments in auxiliary particle filtering
    • D. Barber, A. T. Cemgil, and S. Chiappa (Eds.), Cambridge: Cambridge University Press
    • Whiteley, N., Johansen, A. M.: Recent developments in auxiliary particle filtering. In: Barber, D. Cemgil, A. T. Chiappa, S. (eds.) Inference and Learning in Dynamic Models. Cambridge University Press, Cambridge (2010).
    • (2010) Inference and Learning in Dynamic Models
    • Whiteley, N.1    Johansen, A.M.2
  • 28
    • 0002035207 scopus 로고
    • Monte Carlo technique in problems of optimal data processing
    • Zaritskii, V., Svetnik, V., Shimelevich, L.: Monte Carlo technique in problems of optimal data processing. Autom. Remote Control, 12, 95-103 (1975).
    • (1975) Autom. Remote Control , vol.12 , pp. 95-103
    • Zaritskii, V.1    Svetnik, V.2    Shimelevich, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.