The Compositional Structure of Bayesian Inference.

Dylan Braithwaite Jules Hedges Toby St Clere Smithe

Published in: MFCS (2023)

Keyphrases

bayesian inference
probabilistic model
prior information
bayesian model
hyperparameters
hidden variables
variational inference
statistical inference
gibbs sampler
hierarchical bayesian
inference process
particle filter
belief propagation
probabilistic modeling