Towards Confident Bayesian Parameter Estimation in Stochastic Chemical Kinetics.
Stefan EngblomRobin ErikssonPedro VilanovaPublished in: ENUMATH (2019)
Keyphrases
- parameter estimation
- posterior distribution
- maximum likelihood
- chemical reaction
- bayesian model selection
- model selection
- chemical reactions
- markov chain monte carlo
- least squares
- em algorithm
- random fields
- expectation maximization
- markov random field
- parameter values
- markov fields
- statistical models
- experimental data
- model fitting
- maximum likelihood estimation
- gibbs sampling
- data mining
- parameter estimation algorithm
- metropolis hastings algorithm
- estimation problems
- structure learning
- bayesian inference
- bayesian networks
- variational inference
- parameters estimation
- posterior probability
- particle physics
- parameter estimates
- hidden markov models