Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks.

Niall Jeffrey Benjamin D. Wandelt

Published 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