Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks.
Niall JeffreyBenjamin D. WandeltPublished in: CoRR (2020)
Keyphrases
- high dimensional
- probability distribution
- probabilistic networks
- parameter space
- low dimensional
- bayesian networks
- network parameters
- similarity search
- probability density function
- social networks
- feature space
- dimensionality reduction
- parameter values
- belief networks
- neural network
- computer networks
- bayesian framework
- high dimensionality
- complex networks
- probabilistic inference
- posterior distribution
- multi dimensional
- data sets
- noisy data
- microarray data
- markov chain monte carlo
- network design
- inference process