An efficient method for Bayesian system identification based on Markov chain Monte Carlo simulation

International Journal of Lifecycle Performance Engineering ◽

10.1504/ijlcpe.2019.10021480 ◽

2019 ◽

Vol 3 (1) ◽

pp. 20 ◽

Author(s):

Jia Hua Yang

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

System Identification ◽

Efficient Method

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An efficient method for Bayesian system identification based on Markov chain Monte Carlo simulation

International Journal of Lifecycle Performance Engineering ◽

10.1504/ijlcpe.2019.099893 ◽

2019 ◽

Vol 3 (1) ◽

pp. 20

Author(s):

Jia Hua Yang

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

System Identification ◽

Efficient Method

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Markov chain Monte Carlo simulation for Bayesian Hidden Markov Models

10.1063/1.4966059 ◽

2016 ◽

Author(s):

Lay Guat Chan ◽

Adriana Irawati Nur Binti Ibrahim

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Hidden Markov Models ◽

Markov Models ◽

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A Markov Chain Monte Carlo Approach to Nonlinear Parametric System Identification

IEEE Transactions on Automatic Control ◽

10.1109/tac.2014.2380997 ◽

2015 ◽

Vol 60 (9) ◽

pp. 2542-2546 ◽

Author(s):

Er-Wei Bai ◽

Hideaki Ishii ◽

Roberto Tempo

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

System Identification ◽

Monte Carlo Approach ◽

Parametric System

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Markov Chain Monte Carlo simulation and regression approach guided by El Niño–Southern Oscillation to model the tropical cyclone occurrence over the Bay of Bengal

Climate Dynamics ◽

10.1007/s00382-020-05610-x ◽

2021 ◽

Author(s):

Md Wahiduzzaman ◽

Alea Yeasmin ◽

Jing-Jia Luo ◽

Dewan Abdul Quadir ◽

Andre Van Amstel ◽

...

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Tropical Cyclone ◽

Bay Of Bengal ◽

El Nino ◽

Southern Oscillation ◽

Regression Approach ◽

Simulation And Regression

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Mathematical modeling, analysis and Markov Chain Monte Carlo simulation of Ebola epidemics

Results in Physics ◽

10.1016/j.rinp.2017.02.005 ◽

2017 ◽

Vol 7 ◽

pp. 962-968 ◽

Author(s):

Thomas Wetere Tulu ◽

Boping Tian ◽

Zunyou Wu

Keyword(s):

Mathematical Modeling ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Modeling Analysis

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Markov Chain Monte Carlo Simulation Using the Metropolis Algorithm

Wolfram Demonstrations Project ◽

10.3840/002175 ◽

2007 ◽

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Metropolis Algorithm

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Markov-Chain Monte Carlo Simulation of Inverse-Halftoning for Error Diffusion based on Statistical Mechanics of the Q-Ising Model

10.1063/1.2897877 ◽

2008 ◽

Author(s):

Yohei Saika ◽

Michio Tokuyama ◽

Irwin Oppenheim ◽

Hideya Nishiyama

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Ising Model ◽

Statistical Mechanics ◽

Error Diffusion ◽

Inverse Halftoning

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Accident risk assessment in marine transportation via Markov modelling and Markov Chain Monte Carlo simulation

Ocean Engineering ◽

10.1016/j.oceaneng.2014.09.029 ◽

2014 ◽

Vol 91 ◽

pp. 363-370 ◽

Author(s):

Shahrzad Faghih-Roohi ◽

Min Xie ◽

Kien Ming Ng

Keyword(s):

Risk Assessment ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Accident Risk ◽

Markov Modelling ◽

Marine Transportation

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Structural damage detection and assessment by adaptive Markov chain Monte Carlo simulation

Structural Control and Health Monitoring ◽

10.1002/stc.47 ◽

2004 ◽

Vol 11 (4) ◽

pp. 327-347 ◽

Author(s):

Ka-Veng Yuen ◽

James L. Beck ◽

Siu Kui Au

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Damage Detection ◽

Structural Damage ◽

Structural Damage Detection

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Bayesian System Identification of Dynamical Systems Using Reversible Jump Markov Chain Monte Carlo

Topics in Modal Analysis II, Volume 8 - Conference Proceedings of the Society for Experimental Mechanics Series ◽

10.1007/978-3-319-04774-4_27 ◽

2014 ◽

pp. 277-284 ◽

Author(s):

D. Tiboaca ◽

P. L. Green ◽

R. J. Barthorpe ◽

K. Worden

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

System Identification ◽

Dynamical Systems ◽

Reversible Jump

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