The Doob meyer decomposition theorem is a fundamental theorem in statistics that states that any linear combination of independent observations can be decomposed into a sum of products ofGaussian distributions with mean zero and variance one.
The theorem is named after Canadian statistician E.A.Doob and German mathematician H.J.Meyer, who proved it in 1916.
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