Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation.
Melrose RoderickFelix BerkenkampFatemeh SheikholeslamiZico KolterPublished in: CoRR (2023)
Keyphrases
- posterior distribution
- posterior probability
- bayesian estimation
- generative model
- decision theory
- parameter estimation
- social networks
- bayesian framework
- bayesian networks
- dempster shafer
- maximum likelihood
- data driven
- estimation algorithm
- bayesian inference
- accurate estimation
- conjugate priors
- complex networks
- uncertain data
- markov chain monte carlo
- estimation accuracy
- probability distribution
- bayesian analysis
- measurement error
- markov random field prior
- heterogeneous networks
- estimation error
- conditional probabilities
- probabilistic model