Bayesian inference for differential equations.
Mark A. GirolamiPublished in: Theor. Comput. Sci. (2008)
Keyphrases
- bayesian inference
- differential equations
- probabilistic model
- dynamical systems
- hyperparameters
- prior information
- boundary value problem
- numerical solution
- variational bayes
- ordinary differential equations
- bayesian model
- numerical methods
- hierarchical bayesian
- gibbs sampler
- variational inference
- nonlinear differential equations
- statistical inference
- partial differential equations
- particle filter
- bayesian methods
- probability density function
- object recognition
- runge kutta
- feed forward artificial neural networks
- neural network