Modularized Bayesian analyses and cutting feedback in likelihood-free inference.
Atlanta ChakrabortyDavid J. NottChristopher C. DrovandiDavid T. FrazierScott A. SissonPublished in: Stat. Comput. (2023)
Keyphrases
- maximum likelihood
- posterior probability
- bayesian inference
- bayesian networks
- bayesian model
- prior probabilities
- bayesian model selection
- markov chain monte carlo
- probabilistic inference
- statistical inference
- user feedback
- conditional probabilities
- bayesian learning
- bayesian estimation
- relevance feedback
- inference process
- probabilistic model
- belief nets
- likelihood model
- feedback mechanisms
- marginal probabilities
- loopy belief propagation
- generative model
- posterior distribution
- likelihood ratio
- statistical analysis
- dynamic bayesian networks
- random fields
- dirichlet process mixture models
- bayesian decision
- belief networks