Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs.

Sanmitra Ghosh Paul J. Birrell Daniela De Angelis

Published in: CoRR (2024)

Keyphrases

bayesian inference
probabilistic model
prior information
hidden markov models
hyperparameters
bayesian model
hierarchical bayesian
neural network
maximum likelihood
hidden variables
variational bayes
gibbs sampler
data sets
decision trees
probabilistic modeling