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Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling.
Lei Cheng
Feng Yin
Sergios Theodoridis
Sotirios Chatzis
Tsung-Hui Chang
Published in:
IEEE Signal Process. Mag. (2022)
Keyphrases
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bayesian learning
data analysis
variational bayes
model selection
posterior distribution
dynamic bayesian networks
sparse representation
bayesian networks
prior knowledge
prior information
feature selection
pairwise
high dimensional
cross validation
image reconstruction
bayesian inference