Estimating parameters in stochastic systems: a variational Bayesian approach

Mathematics

• 3D Model 23%
• Asymptotic Behavior 11%
• Bayesian Approach 82%
• Converge 10%
• Diffusion Coefficient 16%
• Dimensionality 16%
• Dynamical system 24%
• Estimate 7%
• Evolution Equation 15%
• Framework 9%
• Hybrid Monte Carlo 26%
• Hyperparameters 20%
• Likelihood 14%
• Local Approximation 20%
• Local Polynomial 21%
• Lorenz System 21%
• Model 10%
• Modeling 10%
• Nonlinearity 12%
• Observation 10%
• Polynomial Approximation 17%
• Range of data 10%
• Smoothing 15%
• State Estimation 21%
• Stochastic Differential Equations 14%
• Stochastic Processes 14%
• Stochastic Systems 81%
• Time Windows 23%
• Univariate 14%
• Unscented Kalman Filter 29%
• Vary 14%

Physics & Astronomy

• approximation 8%
• differential equations 13%
• diffusion coefficient 13%
• dynamical systems 33%
• estimates 9%
• estimating 74%
• inference 37%
• Kalman filters 21%
• nonlinearity 12%
• polynomials 14%
• smoothing 17%
• state estimation 25%
• stochastic processes 19%

Engineering & Materials Science

• Differential equations 14%
• Dynamical systems 27%
• Kalman filters 15%
• Polynomial approximation 22%
• Random processes 17%
• State estimation 16%
• Stochastic systems 100%