Optimal estimation
http://dbpedia.org/resource/Optimal_estimation an entity of type: Abstraction100002137
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.
rdf:langString
rdf:langString
Optimal estimation
xsd:integer
34426869
xsd:integer
985135426
rdf:langString
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.
xsd:nonNegativeInteger
4842