Simulation-based inference using surjective sequential neural likelihood estimation.
Simon DirmeierCarlo AlbertFernando Pérez-CruzPublished in: CoRR (2023)
Keyphrases
- bayesian networks
- maximum likelihood
- accurate estimation
- probabilistic inference
- bio inspired
- neural network
- maximum likelihood estimation
- log likelihood function
- neural model
- estimation accuracy
- network architecture
- estimation error
- belief networks
- posterior probability
- feature selection
- statistical inference
- bayesian model
- artificial intelligence
- inference process
- mixture of gaussians
- inference mechanism
- learning algorithm