Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems.
Andrei KramerBen CalderheadNicole RaddePublished in: BMC Bioinform. (2014)
Keyphrases
- steady state
- parameter estimation
- dynamical systems
- monte carlo methods
- markov chain
- maximum likelihood
- least squares
- monte carlo
- em algorithm
- model selection
- markov random field
- monte carlo method
- differential equations
- maximum likelihood estimation
- queue length
- random fields
- dynamic systems
- arrival rate
- queueing networks
- state space
- approximate inference
- qualitative simulation
- expectation maximization
- higher order
- bayesian networks
- structure learning
- complex systems
- queueing model
- computer vision