Counting biomolecules with Bayesian inference.
Jean-Baptiste MassonPublished in: Nat. Comput. Sci. (2022)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- variational inference
- prior information
- hierarchical bayesian
- bayesian model
- variational bayes
- statistical inference
- gibbs sampler
- hidden variables
- markov chain monte carlo
- data sets
- prior distribution
- probabilistic modeling
- weighted model counting
- expectation propagation
- gene ontology
- particle filter