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Volumn 4, Issue , 2002, Pages 2565-2570

On-line optimization of sequential Monte Carlo methods using stochastic approximation

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; ONLINE SYSTEMS; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; STATE ESTIMATION; STATE SPACE METHODS;

EID: 0036061424     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2002.1025171     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 2
    • 2442578536 scopus 로고    scopus 로고
    • Controlled Markov chain Monte Carlo methods for optimal sampling
    • Technical report, Dept. of Statistics, University of Bristol
    • (2001)
    • Andrieu, C.1    Robert, C.P.2
  • 6
    • 0002936641 scopus 로고    scopus 로고
    • Branching and interacting particle systems approximations of Feynman-Kac formulae with applications to non-linear filtering. In séminaire de Probabilités XXXIV
    • Ed. J. Azéma and M. Emery and M. Ledoux and M. Yor; Berlin: Springer-Verlag
    • (2000) Lecture Notes in Mathematics , vol.1729 , pp. 1-145
    • Del Moral, P.1    Miclo, L.2
  • 9
    • 0005580230 scopus 로고    scopus 로고
    • On-line optimization of sequential Monte Carlo methods using stochastic approximation
    • Technical Report, Dept. of Electrical and Electronic Engineering, The University of Melbourne
    • (2001)
    • Doucet, A.1    Tadić, V.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.