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Bayesian Robust Regression with the Horseshoe+ Estimator.
Enes Makalic
Daniel F. Schmidt
John L. Hopper
Published in:
Australasian Conference on Artificial Intelligence (2016)
Keyphrases
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robust regression
pbm estimator
maximum likelihood
linear regression
least squares
density estimation
bayesian networks
regression methods
multiple models
bundle adjustment
image derivatives
relevance vector machine
posterior distribution
kernel regression