Estimating marginal likelihoods from the posterior draws through a geometric identity.
Johannes ReichlPublished in: Monte Carlo Methods Appl. (2020)
Keyphrases
- posterior probability
- probability distribution
- databases
- neural network
- likelihood function
- rigid body
- probabilistic model
- geometric information
- data sets
- posterior distribution
- random variables
- generative model
- maximum likelihood
- bayesian framework
- probability density function
- bayesian networks
- database systems
- gaussian process
- feature selection
- genetic algorithm
- information retrieval