Bayesian inference of biochemical kinetic parameters using the linear noise approximation.
Michal KomorowskiBärbel FinkenstädtClaire V. HarperDavid A. RandPublished in: BMC Bioinform. (2009)
Keyphrases
- bayesian inference
- hyperparameters
- expectation propagation
- prior information
- prior distribution
- closed form
- probabilistic model
- variational approximation
- bayesian model
- variational bayes
- closed form solutions
- experimental data
- hierarchical bayesian
- statistical inference
- variational inference
- particle filter
- markov networks
- bayesian methods
- weighted model counting
- parameter settings
- gibbs sampler
- parameter estimation
- noise reduction
- piecewise constant
- median filter
- maximum likelihood
- markov chain monte carlo
- noise level
- gaussian process
- decision trees
- approximation algorithms
- signal to noise ratio
- bayesian framework
- parameter space
- image reconstruction
- sample size
- missing data
- generative model
- expectation maximization
- pairwise