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Dealing with Measurement Uncertainties as Nuisance Parameters in Bayesian Model Calibration.
Kellin Rumsey
Gabriel Huerta
Justin Brown
Lauren Hund
Published in:
SIAM/ASA J. Uncertain. Quantification (2020)
Keyphrases
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bayesian model
bayesian inference
bayesian framework
bayesian models
posterior distribution
conditional probabilities
prior probabilities
dirichlet process mixture models
multi task learning
prior knowledge
computer vision
data sets
k means
maximum likelihood