A theory of data variability in Neural Network Bayesian inference.

Javed Lindner David Dahmen Michael Krämer Moritz Helias

Published in: CoRR (2023)

Keyphrases

bayesian inference
neural network
data analysis
data sets
prior information
training data
prior knowledge
data sources
image segmentation
bayesian networks
probabilistic model
probability distribution
missing values
statistical inference