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Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models.
Niels Lovmand Pedersen
Carles Navarro i Manchon
Mihai-Alin Badiu
Dmitriy Shutin
Bernard Henri Fleury
Published in:
Signal Process. (2015)
Keyphrases
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linear models
gaussian processes
gaussian graphical models
variable selection
additive models
linear model
linear regression
high dimensional
maximum likelihood
bayesian networks
prior knowledge
feature selection
unsupervised learning
bayesian inference
gaussian process