메뉴 건너뛰기




Volumn , Issue , 2009, Pages 45-60

Particle Markov chain Monte Carlo for efficient numerical simulation

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INFERENCE ENGINES; MARKOV CHAINS; PROBABILITY DISTRIBUTIONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 84867660527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-04107-5_3     Document Type: Conference Paper
Times cited : (28)

References (12)
  • 2
    • 41549140160 scopus 로고    scopus 로고
    • Bayesian inference for a discretely observed stochastic kinetic model
    • Boys, R.J., Wilkinson, D.J., Kirkwood, T.B.L.: Bayesian inference for a discretely observed stochastic kinetic model. Statistics and Computing 18, 125-135 (2008).
    • (2008) Statistics and Computing , vol.18 , pp. 125-135
    • Boys, R.J.1    Wilkinson, D.J.2    Kirkwood, T.B.L.3
  • 9
    • 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. Journal of Computational and Graphical Statistics 5, 1-25 (1996).
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.