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: | , |
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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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