Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.
Maxime VandegarMichael KaganAntoine WehenkelGilles LouppePublished in: CoRR (2020)
Keyphrases
- empirical bayes
- network architecture
- neural network
- maximum likelihood estimator
- spatial distribution
- estimation algorithm
- kernel density
- estimation process
- uniformly distributed
- probabilistic inference
- beta distribution
- multiple sources
- parameter estimation
- probability distribution
- bayesian networks
- associative memory
- accurate estimation
- statistical inference
- markov chain
- density distribution
- artificial neural networks