Parameter estimation for nonlinear disease dynamical system using particle filter

INIS

• distribution 100%
• diseases 100%
• filters 100%
• particles 100%
• nonlinear problems 100%
• dynamical systems 100%
• dynamics 50%
• density 50%
• markov process 50%
• chains 50%
• algorithms 50%
• evaluation 50%
• space 50%
• malaysia 50%
• disease incidence 50%

Mathematics

• Dynamical System 100%
• Parameter Estimation 100%
• Bayesian 33%
• Metropolis-Hasting Algorithm 33%
• Posterior Distribution 33%
• Representing Space 33%
• target distribution π 33%
• Markov Chain 33%

Engineering

• Parameter Estimation 100%
• Particle Filter 100%
• Bayesian Framework 33%
• Illustrates 33%
• Filtration 33%
• Posterior Distribution 33%
• Metropolis-Hasting Algorithm 33%