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- Optimal_estimation abstract "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:The essential concept is to transform the matrix, A, into a conditional probability and the variables, and into probability distributions by assuming Gaussian statistics and using empirically-determined covariance matrices.".
- Optimal_estimation wikiPageID "34426869".
- Optimal_estimation wikiPageRevisionID "556169073".
- Optimal_estimation hasPhotoCollection Optimal_estimation.
- Optimal_estimation subject Category:Inverse_problems.
- Optimal_estimation subject Category:Remote_sensing.
- Optimal_estimation type Abstraction100002137.
- Optimal_estimation type Attribute100024264.
- Optimal_estimation type Condition113920835.
- Optimal_estimation type Difficulty114408086.
- Optimal_estimation type InverseProblems.
- Optimal_estimation type Problem114410605.
- Optimal_estimation type State100024720.
- Optimal_estimation comment "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:The essential concept is to transform the matrix, A, into a conditional probability and the variables, and into probability distributions by assuming Gaussian statistics and using empirically-determined covariance matrices.".
- Optimal_estimation label "Optimal estimation".
- Optimal_estimation sameAs m.0h_d03q.
- Optimal_estimation sameAs Q7098944.
- Optimal_estimation sameAs Q7098944.
- Optimal_estimation sameAs Optimal_estimation.
- Optimal_estimation wasDerivedFrom Optimal_estimation?oldid=556169073.
- Optimal_estimation isPrimaryTopicOf Optimal_estimation.