Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis.
Agnieszka BorowskaDiana GiurghitaDirk HusmeierPublished in: J. Comput. Phys. (2021)
Keyphrases
- semi automatic
- expectation propagation
- gaussian process
- gaussian processes
- bayesian inference
- approximate inference
- hyperparameters
- model selection
- regression model
- bayesian methods
- bayesian framework
- stochastic differential equations
- semi supervised
- latent variables
- density estimation
- bayesian networks
- posterior distribution
- parameter settings
- belief propagation
- cross validation
- probabilistic model
- probabilistic inference
- support vector
- random sampling
- probability distribution
- dynamic bayesian networks
- poisson process
- active learning
- maximum a posteriori estimation