Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations.
Alan LazarusDirk HusmeierTheodore PapamarkouPublished in: AISTATS (2018)
Keyphrases
- ordinary differential equations
- markov chain monte carlo
- runge kutta
- differential equations
- numerical integration
- dynamic systems
- bayesian inference
- markov chain
- partial differential equations
- posterior distribution
- generative model
- parameter estimation
- mathematical models
- particle filter
- approximate inference
- posterior probability
- biological systems
- level set
- gene regulatory networks
- numerical solution
- particle filtering
- genetic regulatory networks
- probability distribution
- probabilistic inference
- dynamical systems
- numerical methods
- belief networks
- artificial intelligence
- bayesian framework
- high order
- image denoising
- maximum likelihood
- graphical models
- software engineering
- reinforcement learning
- bayesian networks