MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages.
Bogdan MoldovanIngo ThonJesse DavisLuc De RaedtPublished in: ECSQARU (2013)
Keyphrases
- conditional probabilities
- programming language
- posterior probability
- probabilistic model
- bayesian networks
- probabilistic inference
- probability distribution
- belief networks
- general purpose
- object oriented
- programming environment
- bayesian model
- prior probabilities
- random variables
- posterior distribution
- generative model
- bayesian belief networks
- strongly typed
- markov chain monte carlo
- logic programming
- software engineering
- class labels
- probability measures
- denotational semantics
- database languages
- high level
- inference rules
- parameter estimation
- markov chain
- specification language
- object oriented concepts
- lambda calculus
- approximate inference
- discrete random variables
- databases
- main idea consists
- abstract data types
- graphical models
- query language
- artificial intelligence