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Volumn 5204, Issue , 2004, Pages 293-304

A Stochastic EM Algorithm for Nonlinear State Estimation with Model Uncertainties

Author keywords

Expectation Maximization algorithm; Markov chain Monte Carlo method; Nonlinear estimation; Nonlinear regression; Particle Filter; System identification

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERING; LAPLACE TRANSFORMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 1842637720     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (13)
  • 4
    • 0002241694 scopus 로고
    • The SEM Algorithm: A Probabilistic Teacher Algorithm Derived from the EM Algorithm for the Mixture Problem
    • G. Celeux and J. Diebolt, "The SEM Algorithm: a Probabilistic Teacher Algorithm Derived from the EM Algorithm for the Mixture Problem", Computational Statistics Quarterly, (2), pp 73-82, 1985.
    • (1985) Computational Statistics Quarterly , Issue.2 , pp. 73-82
    • Celeux, G.1    Diebolt, J.2
  • 6
    • 0000220520 scopus 로고    scopus 로고
    • Learning Bayesian Networks with Local Structure
    • Ed. M. I. Jordan
    • N. Friedman and M. Goldszmidt, "Learning Bayesian Networks with Local Structure", in Learning in Graphical Models, Ed. M. I. Jordan, 1998.
    • (1998) Learning in Graphical Models
    • Friedman, N.1    Goldszmidt, M.2
  • 7
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models
    • G. Kitagawa, "Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models", J. Computational and Graphical Statistics, Vol. 5, No. 1, pp. 1-25, 1996.
    • (1996) J. Computational and Graphical Statistics , vol.5 , Issue.1 , pp. 1-25
    • Kitagawa, G.1
  • 11
    • 1842702843 scopus 로고    scopus 로고
    • Learning Nonlinear Dynamical System using the Expectation-Maximization Algorithm
    • Ed. S. Haykin, John Wiley and Son's Inc., New York
    • S. T. Roweis and Z. Ghahramani, "Learning Nonlinear Dynamical System using the Expectation-Maximization Algorithm", in Kalman Filtering and Neural Networks, Ed. S. Haykin, John Wiley and Son's Inc., New York, 2001.
    • (2001) Kalman Filtering and Neural Networks
    • Roweis, S.T.1    Ghahramani, Z.2
  • 12
    • 0035391614 scopus 로고    scopus 로고
    • A Framework for State-Space Estimation with Uncertain Models
    • July
    • A. H. Sayed, "A Framework for State-Space Estimation with Uncertain Models", IEEE Transactions on Automatic Control, 46(7), pp 1-15; July 2001.
    • (2001) IEEE Transactions on Automatic Control , vol.46 , Issue.7 , pp. 1-15
    • Sayed, A.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.