<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Markov chain Monte Carlo (MCMC) method for parameter estimation of nonlinear dynamical systems"^^ . "This manuscript is concerned with parameter estimation of nonlinear dynamical system. Bayesian framework is very useful for parameter estimation, Metropolis-Hastings (MH) algorithm is proposed for constructing the posterior density, which is main working procedure of Bayesian analysis. Extended Kalman Filter (EKF) gives better results in non-linear environment at each time step in which Taylor series approximation for nonlinear system is used. A performance comparison of EKF in linear and non-linear environment is proposed. This study will give us the solution for nonlinear systems, numerical integration of complex integrals and parameter estimation of stochastic differential equations (SDE). © 2015 IEEE."^^ . "2016" . . . "Institute of Electrical and Electronics Engineers Inc."^^ . . "Institute of Electrical and Electronics Engineers Inc."^^ . . . "IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings"^^ . . . . . . . . . . . . . . "M.J."^^ . "Ur Rehman"^^ . "M.J. Ur Rehman"^^ . . "V.S."^^ . "Asirvadam"^^ . "V.S. Asirvadam"^^ . . "S.C."^^ . "Dass"^^ . "S.C. Dass"^^ . . . . . "HTML Summary of #7183 \n\nMarkov chain Monte Carlo (MCMC) method for parameter estimation of nonlinear dynamical systems\n\n" . "text/html" . .