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Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks.
Niall Jeffrey
Benjamin D. Wandelt
Published in:
CoRR (2020)
Keyphrases
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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