Preconditioned Neural Posterior Estimation for Likelihood-free Inference.
Xiaoyu WangRyan P. KellyDavid J. WarneChristopher C. DrovandiPublished in: CoRR (2024)
Keyphrases
- posterior probability
- bayesian networks
- network architecture
- log likelihood function
- markov chain monte carlo
- maximum likelihood
- parameter estimation
- estimation algorithm
- neural network
- estimation error
- probability distribution
- accurate estimation
- likelihood function
- inference process
- probabilistic inference
- bayesian model
- robust estimation
- estimation accuracy
- inference engine
- neural model
- expert systems
- bayesian inference
- density estimation
- belief networks
- bayesian framework