Quantifying uncertainty in the estimation of probability distributions
We consider ordinary least squares parameter estimation problemswhere the unknown parameters to be estimated are probabilitydistributions. A computational framework for quantification ofuncertainty (e.g., standard errors) associated with the estimatedparameters is given and sample numerical findings...
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Main Authors: | H.T. Banks, Jimena L. Davis |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2008-09-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.647 |
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