Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference.
Maximilian DaxStephen R. GreenJonathan GairMichael PürrerJonas WildbergerJakob H. MackeAlessandra BuonannoBernhard SchölkopfPublished in: CoRR (2022)
Keyphrases
- importance sampling
- monte carlo
- markov chain monte carlo
- markov chain
- rare events
- particle filter
- approximate inference
- kalman filter
- particle filtering
- probabilistic inference
- neural network
- bayesian networks
- bayesian inference
- probabilistic model
- machine learning
- probability distribution
- sparse representation
- parameter estimation
- information extraction