BlackJAX: Composable Bayesian inference in JAX.
Alberto CabezasAdrien CorenflosJunpeng LaoRémi LoufAntoine CarnecKaustubh ChaudhariReuben Cohn-GordonJeremie CoullonWei DengSam DuffieldGerardo Duràn-MartínMarcin ElantkowskiDan Foreman-MackeyMichele GregoriCarlos IguaranRavin KumarMartin LysyKevin MurphyJuan Camilo OrduzKarm PatelXi WangRob ZinkovPublished in: CoRR (2024)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational bayes
- variational inference
- statistical inference
- weighted model counting
- hierarchical bayesian
- bayesian model
- particle filter
- expectation propagation
- prior distribution
- markov networks
- inference process
- gibbs sampler
- co occurrence
- bayesian models
- markov chain monte carlo
- image segmentation
- hidden variables
- prior knowledge
- training data