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About: Optimal estimation     Goto   Sponge   NotDistinct   Permalink

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Type: yago:Abstraction100002137yago:Attribute100024264yago:Condition113920835yago:Difficulty114408086yago:Problem114410605yago:WikicatInverseProblemsyago:State100024720 New Facet based on Instances of this Class

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.