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Volumn V, Issue , 2005, Pages

Particle methods for optimal filter derivative: Application to parameter estimation

Author keywords

Optimal Filtering; Parameter Estimation; Sequential Monte Carlo; State Space Models; Stochastic Approximation

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); NONLINEAR SYSTEMS; PARAMETER ESTIMATION; WAVE FILTERS;

EID: 33646800208     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416456     Document Type: Conference Paper
Times cited : (39)

References (11)
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    • Andrieu, C. and Doucet, A. (2002). Particle filtering for partially observed gaussian state space models. J. Royal Statist. Soc. B, 64, 827-836.
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  • 3
    • 12444272206 scopus 로고    scopus 로고
    • Stochastic particle methods for linear tangent equations
    • (eds. J. Menaldi, E. Rofman & A. Sulem), IOS Press, Amsterdam
    • Cérou F., LeGland F. and Newton N.J. (2001) Stochastic particle methods for linear tangent equations, in Optimal Control and PDE's - Innovations and Applications (eds. J. Menaldi, E. Rofman & A. Sulem), pp. 231-240, IOS Press, Amsterdam.
    • (2001) Optimal Control and PDE's - Innovations and Applications , pp. 231-240
    • Cérou, F.1    LeGland, F.2    Newton, N.J.3
  • 4
    • 0141803858 scopus 로고    scopus 로고
    • Parameter estimation in general state-space models using particle methods
    • Doucet, A. and Tadić, V.B. (2003). Parameter estimation in general state-space models using particle methods. Ann. Inst. Stat. Math., 55, 409-422.
    • (2003) Ann. Inst. Stat. Math. , vol.55 , pp. 409-422
    • Doucet, A.1    Tadić, V.B.2
  • 5
    • 0003665481 scopus 로고    scopus 로고
    • Doucet, A., de Freitas, J.F.G. and Gordon N.J. (eds.) New York: Springer-Verlag
    • Doucet, A., de Freitas, J.F.G. and Gordon N.J. (eds.) (2001). Sequential Monte Carlo Methods in Practice. New York: Springer-Verlag.
    • (2001) Sequential Monte Carlo Methods in Practice
  • 6
    • 0034354798 scopus 로고    scopus 로고
    • Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives
    • Durbin, J. and Koopman, S. J. (2000). Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives (with discussion). J. R. Statist. Soc. B, 62, 3-56.
    • (2000) J. R. Statist. Soc. B , vol.62 , pp. 3-56
    • Durbin, J.1    Koopman, S.J.2
  • 8
    • 0001251517 scopus 로고    scopus 로고
    • Stochastic volatility: Likelihood inference and comparison with ARCH models
    • Kim, S., Shephard, N. and Chib, S. (1998).Stochastic volatility: likelihood inference and comparison with ARCH models. Review of Economic Studies, 65, 361-393.
    • (1998) Review of Economic Studies , vol.65 , pp. 361-393
    • Kim, S.1    Shephard, N.2    Chib, S.3
  • 9
    • 33646807596 scopus 로고    scopus 로고
    • Fast probability propagation: Beyond belief(s)
    • CS Department, University of British Columbia
    • Klaas, M., Lang, D., Hamze, F. and de Freitas, N. (2004) Fast probability propagation: Beyond belief(s). Technical report, CS Department, University of British Columbia.
    • (2004) Technical Report
    • Klaas, M.1    Lang, D.2    Hamze, F.3    De Freitas, N.4
  • 11
    • 1542427941 scopus 로고    scopus 로고
    • Filtering via simulation: Auxiliary particle filter
    • Pitt, M.K. and Shephard, N. (1999). Filtering via simulation: auxiliary particle filter. J. Am. Statist. Ass., 94, 590-599.
    • (1999) J. Am. Statist. Ass. , vol.94 , pp. 590-599
    • Pitt, M.K.1    Shephard, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.