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In applied statistics, optimal estimation is a regularized matrix inverse method based on Bayes' theorem. It is used very commonly in the geosciences, particularly for atmospheric sounding. A matrix inverse problem looks like this:
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matrix displaystyle vec covariance inverse atmospheric statistics gaussian estimation problem one elements vector given value resolution clive rodgers optimal sounding
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Optimal estimation | is a | regularized matrix inverse method based on Bayes' theorem | 0.90 | text |
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